id	sid	tid	token	lemma	pos
cana-953	1	1	communications	communication	NOUN
cana-953	1	2	on	on	ADP
cana-953	1	3	applied	apply	VERB
cana-953	1	4	nonlinear	nonlinear	ADJ
cana-953	1	5	analysis	analysis	NOUN
cana-953	1	6	issn	issn	NOUN
cana-953	1	7	:	:	PUNCT
cana-953	1	8	1074	1074	NUM
cana-953	1	9	-	-	PUNCT
cana-953	1	10	133x	133x	NUM
cana-953	1	11	vol	vol	NOUN
cana-953	1	12	31	31	NUM
cana-953	1	13	no	no	NOUN
cana-953	1	14	.	.	PUNCT
cana-953	2	1	4s	4s	NUM
cana-953	2	2	(	(	PUNCT
cana-953	2	3	2024	2024	NUM
cana-953	2	4	)	)	PUNCT
cana-953	2	5	599	599	NUM
cana-953	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	2	7	design	design	NOUN
cana-953	2	8	of	of	ADP
cana-953	2	9	an	an	DET
cana-953	2	10	iterative	iterative	NOUN
cana-953	2	11	method	method	NOUN
cana-953	2	12	for	for	ADP
cana-953	2	13	mapreduce	mapreduce	NOUN
cana-953	2	14	scheduling	scheduling	NOUN
cana-953	2	15	using	use	VERB
cana-953	2	16	deep	deep	ADJ
cana-953	2	17	reinforcement	reinforcement	NOUN
cana-953	2	18	learning	learning	NOUN
cana-953	2	19	and	and	CCONJ
cana-953	2	20	anomaly	anomaly	NOUN
cana-953	2	21	detection	detection	NOUN
cana-953	2	22	mr	mr	PROPN
cana-953	2	23	.	.	PROPN
cana-953	2	24	aihtesham	aihtesham	PROPN
cana-953	2	25	kazi1	kazi1	PROPN
cana-953	2	26	,	,	PUNCT
cana-953	2	27	dr	dr	PROPN
cana-953	2	28	.	.	PROPN
cana-953	2	29	dinesh	dinesh	PROPN
cana-953	2	30	chaudhari2	chaudhari2	PROPN
cana-953	3	1	1bajaj	1bajaj	NUM
cana-953	3	2	institute	institute	NOUN
cana-953	3	3	of	of	ADP
cana-953	3	4	technology	technology	PROPN
cana-953	3	5	,	,	PUNCT
cana-953	3	6	department	department	NOUN
cana-953	3	7	of	of	ADP
cana-953	3	8	computer	computer	NOUN
cana-953	3	9	engineering	engineering	NOUN
cana-953	3	10	,	,	PUNCT
cana-953	3	11	wardha	wardha	PROPN
cana-953	3	12	india	india	PROPN
cana-953	3	13	.	.	PUNCT
cana-953	4	1	e	e	X
cana-953	4	2	-	-	NOUN
cana-953	4	3	mail	mail	NOUN
cana-953	4	4	:	:	PUNCT
cana-953	4	5	kazi_aihtesham@rediffmail.com	kazi_aihtesham@rediffmail.com	X
cana-953	4	6	.	.	PUNCT
cana-953	5	1	2jawaharlal	2jawaharlal	NUM
cana-953	5	2	darda	darda	PROPN
cana-953	5	3	institute	institute	NOUN
cana-953	5	4	of	of	ADP
cana-953	5	5	engineering	engineering	NOUN
cana-953	5	6	and	and	CCONJ
cana-953	5	7	technology	technology	NOUN
cana-953	5	8	,	,	PUNCT
cana-953	5	9	department	department	NOUN
cana-953	5	10	of	of	ADP
cana-953	5	11	computer	computer	NOUN
cana-953	5	12	science	science	PROPN
cana-953	5	13	&	&	CCONJ
cana-953	5	14	engineering	engineering	PROPN
cana-953	5	15	,	,	PUNCT
cana-953	5	16	yavatmal	yavatmal	PROPN
cana-953	5	17	india	india	PROPN
cana-953	5	18	.	.	PUNCT
cana-953	6	1	e	e	X
cana-953	6	2	-	-	NOUN
cana-953	6	3	mail	mail	NOUN
cana-953	6	4	:	:	PUNCT
cana-953	6	5	dinesh_chaudhari@jdiet.ac.in	dinesh_chaudhari@jdiet.ac.in	X
cana-953	6	6	article	article	NOUN
cana-953	6	7	history	history	NOUN
cana-953	6	8	:	:	PUNCT
cana-953	6	9	received	receive	VERB
cana-953	6	10	:	:	PUNCT
cana-953	6	11	23	23	NUM
cana-953	6	12	-	-	PUNCT
cana-953	6	13	04	04	NUM
cana-953	6	14	-	-	PUNCT
cana-953	6	15	2024	2024	NUM
cana-953	6	16	revised	revise	VERB
cana-953	6	17	:	:	PUNCT
cana-953	6	18	24	24	NUM
cana-953	6	19	-	-	PUNCT
cana-953	6	20	06	06	NUM
cana-953	6	21	-	-	PUNCT
cana-953	6	22	2024	2024	NUM
cana-953	6	23	accepted	accept	VERB
cana-953	6	24	:	:	PUNCT
cana-953	6	25	28	28	NUM
cana-953	6	26	-	-	SYM
cana-953	6	27	06	06	NUM
cana-953	6	28	-	-	PUNCT
cana-953	6	29	2024	2024	NUM
cana-953	6	30	abstract	abstract	NOUN
cana-953	6	31	:	:	PUNCT
cana-953	6	32	due	due	ADP
cana-953	6	33	to	to	ADP
cana-953	6	34	high	high	ADJ
cana-953	6	35	complexities	complexity	NOUN
cana-953	6	36	within	within	ADP
cana-953	6	37	distributed	distribute	VERB
cana-953	6	38	computing	computing	NOUN
cana-953	6	39	environments	environment	NOUN
cana-953	6	40	,	,	PUNCT
cana-953	6	41	there	there	PRON
cana-953	6	42	's	be	VERB
cana-953	6	43	a	a	DET
cana-953	6	44	critical	critical	ADJ
cana-953	6	45	need	need	NOUN
cana-953	6	46	for	for	ADP
cana-953	6	47	advanced	advanced	ADJ
cana-953	6	48	scheduling	scheduling	NOUN
cana-953	6	49	frameworks	framework	NOUN
cana-953	6	50	that	that	PRON
cana-953	6	51	are	be	AUX
cana-953	6	52	capable	capable	ADJ
cana-953	6	53	of	of	ADP
cana-953	6	54	optimizing	optimize	VERB
cana-953	6	55	mapreduce	mapreduce	NOUN
cana-953	6	56	systems	system	NOUN
cana-953	6	57	.	.	PUNCT
cana-953	7	1	current	current	ADJ
cana-953	7	2	approaches	approach	NOUN
cana-953	7	3	have	have	VERB
cana-953	7	4	static	static	ADJ
cana-953	7	5	policies	policy	NOUN
cana-953	7	6	that	that	PRON
cana-953	7	7	limit	limit	VERB
cana-953	7	8	their	their	PRON
cana-953	7	9	capability	capability	NOUN
cana-953	7	10	to	to	PART
cana-953	7	11	adapt	adapt	VERB
cana-953	7	12	to	to	ADP
cana-953	7	13	changing	change	VERB
cana-953	7	14	system	system	NOUN
cana-953	7	15	dynamics	dynamic	NOUN
cana-953	7	16	and	and	CCONJ
cana-953	7	17	workload	workload	NOUN
cana-953	7	18	variations	variation	NOUN
cana-953	7	19	for	for	ADP
cana-953	7	20	different	different	ADJ
cana-953	7	21	cloud	cloud	NOUN
cana-953	7	22	scenarios	scenario	NOUN
cana-953	7	23	.	.	PUNCT
cana-953	8	1	to	to	PART
cana-953	8	2	overcome	overcome	VERB
cana-953	8	3	these	these	DET
cana-953	8	4	issues	issue	NOUN
cana-953	8	5	,	,	PUNCT
cana-953	8	6	this	this	DET
cana-953	8	7	study	study	NOUN
cana-953	8	8	introduces	introduce	VERB
cana-953	8	9	a	a	DET
cana-953	8	10	robust	robust	ADJ
cana-953	8	11	mapreduce	mapreduce	NOUN
cana-953	8	12	framework	framework	NOUN
cana-953	8	13	empowered	empower	VERB
cana-953	8	14	by	by	ADP
cana-953	8	15	intelligent	intelligent	ADJ
cana-953	8	16	scheduling	scheduling	NOUN
cana-953	8	17	algorithms	algorithm	NOUN
cana-953	8	18	,	,	PUNCT
cana-953	8	19	tailored	tailor	VERB
cana-953	8	20	to	to	PART
cana-953	8	21	enhance	enhance	VERB
cana-953	8	22	system	system	NOUN
cana-953	8	23	efficiency	efficiency	NOUN
cana-953	8	24	and	and	CCONJ
cana-953	8	25	resilience	resilience	NOUN
cana-953	8	26	levels	level	NOUN
cana-953	8	27	.	.	PUNCT
cana-953	9	1	the	the	DET
cana-953	9	2	framework	framework	NOUN
cana-953	9	3	introduces	introduce	VERB
cana-953	9	4	three	three	NUM
cana-953	9	5	novel	novel	ADJ
cana-953	9	6	scheduling	scheduling	NOUN
cana-953	9	7	models	model	NOUN
cana-953	9	8	:	:	PUNCT
cana-953	9	9	deep	deep	ADJ
cana-953	9	10	reinforcement	reinforcement	NOUN
cana-953	9	11	learning	learning	NOUN
cana-953	9	12	for	for	ADP
cana-953	9	13	dynamic	dynamic	ADJ
cana-953	9	14	job	job	NOUN
cana-953	9	15	scheduling	scheduling	NOUN
cana-953	9	16	(	(	PUNCT
cana-953	9	17	drdjs	drdjs	NOUN
cana-953	9	18	)	)	PUNCT
cana-953	9	19	,	,	PUNCT
cana-953	9	20	anomaly	anomaly	NOUN
cana-953	9	21	detection	detection	NOUN
cana-953	9	22	-	-	PUNCT
cana-953	9	23	driven	drive	VERB
cana-953	9	24	adaptive	adaptive	ADJ
cana-953	9	25	scheduling	scheduling	NOUN
cana-953	9	26	(	(	PUNCT
cana-953	9	27	adas	adas	PROPN
cana-953	9	28	)	)	PUNCT
cana-953	9	29	,	,	PUNCT
cana-953	9	30	and	and	CCONJ
cana-953	9	31	cluster	cluster	NOUN
cana-953	9	32	-	-	PUNCT
cana-953	9	33	based	base	VERB
cana-953	9	34	job	job	NOUN
cana-953	9	35	categorization	categorization	NOUN
cana-953	9	36	and	and	CCONJ
cana-953	9	37	scheduling	scheduling	NOUN
cana-953	9	38	(	(	PUNCT
cana-953	9	39	cjcs	cjcs	NOUN
cana-953	9	40	)	)	PUNCT
cana-953	9	41	.	.	PUNCT
cana-953	10	1	drdjs	drdjs	PROPN
cana-953	10	2	utilizes	utilize	VERB
cana-953	10	3	deep	deep	ADJ
cana-953	10	4	reinforcement	reinforcement	NOUN
cana-953	10	5	learning	learning	NOUN
cana-953	10	6	to	to	PART
cana-953	10	7	dynamically	dynamically	ADV
cana-953	10	8	generate	generate	VERB
cana-953	10	9	optimal	optimal	ADJ
cana-953	10	10	scheduling	scheduling	NOUN
cana-953	10	11	policies	policy	NOUN
cana-953	10	12	based	base	VERB
cana-953	10	13	on	on	ADP
cana-953	10	14	multiple	multiple	ADJ
cana-953	10	15	metrics	metric	NOUN
cana-953	10	16	that	that	PRON
cana-953	10	17	include	include	VERB
cana-953	10	18	historical	historical	ADJ
cana-953	10	19	job	job	NOUN
cana-953	10	20	data	datum	NOUN
cana-953	10	21	,	,	PUNCT
cana-953	10	22	system	system	NOUN
cana-953	10	23	metrics	metric	NOUN
cana-953	10	24	,	,	PUNCT
cana-953	10	25	and	and	CCONJ
cana-953	10	26	workload	workload	NOUN
cana-953	10	27	characteristics	characteristic	NOUN
cana-953	10	28	.	.	PUNCT
cana-953	11	1	this	this	DET
cana-953	11	2	adaptive	adaptive	ADJ
cana-953	11	3	approach	approach	NOUN
cana-953	11	4	leads	lead	VERB
cana-953	11	5	to	to	ADP
cana-953	11	6	significant	significant	ADJ
cana-953	11	7	reductions	reduction	NOUN
cana-953	11	8	in	in	ADP
cana-953	11	9	job	job	NOUN
cana-953	11	10	completion	completion	NOUN
cana-953	11	11	times	time	NOUN
cana-953	11	12	,	,	PUNCT
cana-953	11	13	outperforming	outperform	VERB
cana-953	11	14	static	static	ADJ
cana-953	11	15	scheduling	scheduling	NOUN
cana-953	11	16	methods	method	NOUN
cana-953	11	17	by	by	ADP
cana-953	11	18	up	up	ADP
cana-953	11	19	to	to	PART
cana-953	11	20	30	30	NUM
cana-953	11	21	%	%	NOUN
cana-953	11	22	.	.	PUNCT
cana-953	12	1	next	next	ADV
cana-953	12	2	,	,	PUNCT
cana-953	12	3	adas	adas	PROPN
cana-953	12	4	leverages	leverage	VERB
cana-953	12	5	anomaly	anomaly	NOUN
cana-953	12	6	detection	detection	NOUN
cana-953	12	7	to	to	PART
cana-953	12	8	prioritize	prioritize	VERB
cana-953	12	9	critical	critical	ADJ
cana-953	12	10	tasks	task	NOUN
cana-953	12	11	and	and	CCONJ
cana-953	12	12	efficiently	efficiently	ADV
cana-953	12	13	allocate	allocate	ADJ
cana-953	12	14	resources	resource	NOUN
cana-953	12	15	in	in	ADP
cana-953	12	16	response	response	NOUN
cana-953	12	17	to	to	ADP
cana-953	12	18	anomalies	anomaly	NOUN
cana-953	12	19	,	,	PUNCT
cana-953	12	20	resulting	result	VERB
cana-953	12	21	in	in	ADP
cana-953	12	22	a	a	DET
cana-953	12	23	notable	notable	ADJ
cana-953	12	24	improve	improve	VERB
cana-953	12	25	scheduling	scheduling	NOUN
cana-953	12	26	speed	speed	NOUN
cana-953	12	27	by	by	ADP
cana-953	12	28	up	up	ADP
cana-953	12	29	to	to	PART
cana-953	12	30	40	40	NUM
cana-953	12	31	%	%	NOUN
cana-953	12	32	.	.	PUNCT
cana-953	13	1	finally	finally	ADV
cana-953	13	2	,	,	PUNCT
cana-953	13	3	cjcs	cjc	NOUN
cana-953	13	4	employs	employ	VERB
cana-953	13	5	clustering	cluster	VERB
cana-953	13	6	algorithms	algorithm	NOUN
cana-953	13	7	to	to	PART
cana-953	13	8	categorize	categorize	VERB
cana-953	13	9	jobs	job	NOUN
cana-953	13	10	based	base	VERB
cana-953	13	11	on	on	ADP
cana-953	13	12	their	their	PRON
cana-953	13	13	resource	resource	NOUN
cana-953	13	14	requirements	requirement	NOUN
cana-953	13	15	and	and	CCONJ
cana-953	13	16	execution	execution	NOUN
cana-953	13	17	profiles	profile	NOUN
cana-953	13	18	,	,	PUNCT
cana-953	13	19	enabling	enable	VERB
cana-953	13	20	more	more	ADV
cana-953	13	21	accurate	accurate	ADJ
cana-953	13	22	resource	resource	NOUN
cana-953	13	23	allocation	allocation	NOUN
cana-953	13	24	and	and	CCONJ
cana-953	13	25	reducing	reduce	VERB
cana-953	13	26	average	average	ADJ
cana-953	13	27	job	job	NOUN
cana-953	13	28	completion	completion	NOUN
cana-953	13	29	times	time	NOUN
cana-953	13	30	by	by	ADP
cana-953	13	31	up	up	ADP
cana-953	13	32	to	to	PART
cana-953	13	33	25	25	NUM
cana-953	13	34	%	%	NOUN
cana-953	13	35	.	.	PUNCT
cana-953	14	1	by	by	ADP
cana-953	14	2	integrating	integrate	VERB
cana-953	14	3	these	these	DET
cana-953	14	4	methods	method	NOUN
cana-953	14	5	into	into	ADP
cana-953	14	6	a	a	DET
cana-953	14	7	unified	unified	ADJ
cana-953	14	8	scheduling	scheduling	NOUN
cana-953	14	9	framework	framework	NOUN
cana-953	14	10	,	,	PUNCT
cana-953	14	11	the	the	DET
cana-953	14	12	proposed	propose	VERB
cana-953	14	13	solution	solution	NOUN
cana-953	14	14	addresses	address	VERB
cana-953	14	15	the	the	DET
cana-953	14	16	variability	variability	NOUN
cana-953	14	17	in	in	ADP
cana-953	14	18	job	job	NOUN
cana-953	14	19	characteristics	characteristic	NOUN
cana-953	14	20	and	and	CCONJ
cana-953	14	21	system	system	NOUN
cana-953	14	22	performance	performance	NOUN
cana-953	14	23	,	,	PUNCT
cana-953	14	24	thereby	thereby	ADV
cana-953	14	25	enhancing	enhance	VERB
cana-953	14	26	the	the	DET
cana-953	14	27	overall	overall	ADJ
cana-953	14	28	throughput	throughput	NOUN
cana-953	14	29	and	and	CCONJ
cana-953	14	30	stability	stability	NOUN
cana-953	14	31	of	of	ADP
cana-953	14	32	mapreduce	mapreduce	PROPN
cana-953	14	33	operations	operation	NOUN
cana-953	14	34	.	.	PUNCT
cana-953	15	1	keywords	keyword	NOUN
cana-953	15	2	:	:	PUNCT
cana-953	16	1	mapreduce	mapreduce	NOUN
cana-953	16	2	,	,	PUNCT
cana-953	16	3	deep	deep	ADJ
cana-953	16	4	reinforcement	reinforcement	NOUN
cana-953	16	5	learning	learning	NOUN
cana-953	16	6	,	,	PUNCT
cana-953	16	7	anomaly	anomaly	NOUN
cana-953	16	8	detection	detection	NOUN
cana-953	16	9	,	,	PUNCT
cana-953	16	10	resource	resource	NOUN
cana-953	16	11	allocation	allocation	NOUN
cana-953	16	12	,	,	PUNCT
cana-953	16	13	distributed	distribute	VERB
cana-953	16	14	computing	compute	VERB
cana-953	16	15	1	1	NUM
cana-953	16	16	.	.	PUNCT
cana-953	16	17	introduction	introduction	NOUN
cana-953	16	18	in	in	ADP
cana-953	16	19	the	the	DET
cana-953	16	20	field	field	NOUN
cana-953	16	21	of	of	ADP
cana-953	16	22	distributed	distribute	VERB
cana-953	16	23	computing	computing	NOUN
cana-953	16	24	,	,	PUNCT
cana-953	16	25	the	the	DET
cana-953	16	26	management	management	NOUN
cana-953	16	27	of	of	ADP
cana-953	16	28	computational	computational	ADJ
cana-953	16	29	resources	resource	NOUN
cana-953	16	30	on	on	ADP
cana-953	16	31	a	a	DET
cana-953	16	32	large	large	ADJ
cana-953	16	33	-	-	PUNCT
cana-953	16	34	scale	scale	NOUN
cana-953	16	35	network	network	NOUN
cana-953	16	36	is	be	AUX
cana-953	16	37	of	of	ADP
cana-953	16	38	prime	prime	ADJ
cana-953	16	39	importance	importance	NOUN
cana-953	16	40	.	.	PUNCT
cana-953	17	1	the	the	DET
cana-953	17	2	architecture	architecture	NOUN
cana-953	17	3	of	of	ADP
cana-953	17	4	mapreduce	mapreduce	PROPN
cana-953	17	5	has	have	AUX
cana-953	17	6	emerged	emerge	VERB
cana-953	17	7	as	as	ADP
cana-953	17	8	a	a	DET
cana-953	17	9	very	very	ADV
cana-953	17	10	important	important	ADJ
cana-953	17	11	architecture	architecture	NOUN
cana-953	17	12	for	for	ADP
cana-953	17	13	processing	process	VERB
cana-953	17	14	huge	huge	ADJ
cana-953	17	15	amounts	amount	NOUN
cana-953	17	16	of	of	ADP
cana-953	17	17	data	datum	NOUN
cana-953	17	18	by	by	ADP
cana-953	17	19	breaking	break	VERB
cana-953	17	20	the	the	DET
cana-953	17	21	tasks	task	NOUN
cana-953	17	22	into	into	ADP
cana-953	17	23	small	small	ADJ
cana-953	17	24	fragments	fragment	NOUN
cana-953	17	25	,	,	PUNCT
cana-953	17	26	which	which	PRON
cana-953	17	27	are	be	AUX
cana-953	17	28	processed	process	VERB
cana-953	17	29	in	in	ADP
cana-953	17	30	a	a	DET
cana-953	17	31	parallel	parallel	ADJ
cana-953	17	32	mode	mode	NOUN
cana-953	17	33	over	over	ADP
cana-953	17	34	a	a	DET
cana-953	17	35	distributed	distribute	VERB
cana-953	17	36	network	network	NOUN
cana-953	17	37	.	.	PUNCT
cana-953	18	1	despite	despite	SCONJ
cana-953	18	2	its	its	PRON
cana-953	18	3	wide	wide	ADJ
cana-953	18	4	use	use	NOUN
cana-953	18	5	,	,	PUNCT
cana-953	18	6	the	the	DET
cana-953	18	7	standard	standard	ADJ
cana-953	18	8	scheduling	scheduling	NOUN
cana-953	18	9	communications	communication	NOUN
cana-953	18	10	on	on	ADP
cana-953	18	11	applied	apply	VERB
cana-953	18	12	nonlinear	nonlinear	ADJ
cana-953	18	13	analysis	analysis	NOUN
cana-953	18	14	issn	issn	NOUN
cana-953	18	15	:	:	PUNCT
cana-953	18	16	1074	1074	NUM
cana-953	18	17	-	-	PUNCT
cana-953	18	18	133x	133x	NUM
cana-953	18	19	vol	vol	NOUN
cana-953	18	20	31	31	NUM
cana-953	18	21	no	no	NOUN
cana-953	18	22	.	.	PUNCT
cana-953	19	1	4s	4s	NUM
cana-953	19	2	(	(	PUNCT
cana-953	19	3	2024	2024	NUM
cana-953	19	4	)	)	PUNCT
cana-953	19	5	600	600	NUM
cana-953	19	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	19	7	mechanisms	mechanism	NOUN
cana-953	19	8	employed	employ	VERB
cana-953	19	9	by	by	ADP
cana-953	19	10	mapreduce	mapreduce	PROPN
cana-953	19	11	are	be	AUX
cana-953	19	12	often	often	ADV
cana-953	19	13	not	not	PART
cana-953	19	14	dynamic	dynamic	ADJ
cana-953	19	15	enough	enough	ADV
cana-953	19	16	to	to	PART
cana-953	19	17	adjust	adjust	VERB
cana-953	19	18	according	accord	VERB
cana-953	19	19	to	to	ADP
cana-953	19	20	the	the	DET
cana-953	19	21	changing	change	VERB
cana-953	19	22	conditions	condition	NOUN
cana-953	19	23	of	of	ADP
cana-953	19	24	the	the	DET
cana-953	19	25	environment	environment	NOUN
cana-953	19	26	and	and	CCONJ
cana-953	19	27	workload	workload	NOUN
cana-953	19	28	demands	demand	NOUN
cana-953	19	29	,	,	PUNCT
cana-953	19	30	thus	thus	ADV
cana-953	19	31	rendering	render	VERB
cana-953	19	32	many	many	ADJ
cana-953	19	33	inefficiencies	inefficiency	NOUN
cana-953	19	34	in	in	ADP
cana-953	19	35	the	the	DET
cana-953	19	36	utilization	utilization	NOUN
cana-953	19	37	of	of	ADP
cana-953	19	38	resources	resource	NOUN
cana-953	19	39	and	and	CCONJ
cana-953	19	40	processing	processing	NOUN
cana-953	19	41	delays	delay	NOUN
cana-953	19	42	.	.	PUNCT
cana-953	20	1	recent	recent	ADJ
cana-953	20	2	advances	advance	NOUN
cana-953	20	3	in	in	ADP
cana-953	20	4	machine	machine	NOUN
cana-953	20	5	learning	learning	NOUN
cana-953	20	6	and	and	CCONJ
cana-953	20	7	data	datum	NOUN
cana-953	20	8	analytics	analytic	NOUN
cana-953	20	9	have	have	AUX
cana-953	20	10	opened	open	VERB
cana-953	20	11	new	new	ADJ
cana-953	20	12	avenues	avenue	NOUN
cana-953	20	13	to	to	PART
cana-953	20	14	enhance	enhance	VERB
cana-953	20	15	the	the	DET
cana-953	20	16	adaptability	adaptability	NOUN
cana-953	20	17	and	and	CCONJ
cana-953	20	18	efficiency	efficiency	NOUN
cana-953	20	19	of	of	ADP
cana-953	20	20	job	job	NOUN
cana-953	20	21	scheduling	scheduling	NOUN
cana-953	20	22	in	in	ADP
cana-953	20	23	distributed	distribute	VERB
cana-953	20	24	systems	system	NOUN
cana-953	20	25	.	.	PUNCT
cana-953	21	1	more	more	ADV
cana-953	21	2	precisely	precisely	ADV
cana-953	21	3	,	,	PUNCT
cana-953	21	4	the	the	DET
cana-953	21	5	integration	integration	NOUN
cana-953	21	6	of	of	ADP
cana-953	21	7	intelligent	intelligent	ADJ
cana-953	21	8	scheduling	scheduling	NOUN
cana-953	21	9	algorithms	algorithm	NOUN
cana-953	21	10	with	with	ADP
cana-953	21	11	the	the	DET
cana-953	21	12	mapreduce	mapreduce	NOUN
cana-953	21	13	framework	framework	NOUN
cana-953	21	14	will	will	AUX
cana-953	21	15	dramatically	dramatically	ADV
cana-953	21	16	improve	improve	VERB
cana-953	21	17	the	the	DET
cana-953	21	18	drawbacks	drawback	NOUN
cana-953	21	19	of	of	ADP
cana-953	21	20	conventional	conventional	ADJ
cana-953	21	21	static	static	ADJ
cana-953	21	22	scheduling	scheduling	NOUN
cana-953	21	23	methods	method	NOUN
cana-953	21	24	.	.	PUNCT
cana-953	22	1	this	this	DET
cana-953	22	2	paper	paper	NOUN
cana-953	22	3	presents	present	VERB
cana-953	22	4	a	a	DET
cana-953	22	5	sophisticated	sophisticated	ADJ
cana-953	22	6	scheduling	scheduling	NOUN
cana-953	22	7	framework	framework	NOUN
cana-953	22	8	that	that	PRON
cana-953	22	9	uses	use	VERB
cana-953	22	10	deep	deep	ADJ
cana-953	22	11	reinforcement	reinforcement	NOUN
cana-953	22	12	learning	learning	NOUN
cana-953	22	13	for	for	ADP
cana-953	22	14	dynamic	dynamic	ADJ
cana-953	22	15	job	job	NOUN
cana-953	22	16	scheduling	scheduling	NOUN
cana-953	22	17	(	(	PUNCT
cana-953	22	18	drdjs	drdj	VERB
cana-953	22	19	)	)	PUNCT
cana-953	22	20	and	and	CCONJ
cana-953	22	21	anomaly	anomaly	NOUN
cana-953	22	22	detection	detection	NOUN
cana-953	22	23	-	-	PUNCT
cana-953	22	24	driven	drive	VERB
cana-953	22	25	adaptive	adaptive	ADJ
cana-953	22	26	scheduling	scheduling	NOUN
cana-953	22	27	(	(	PUNCT
cana-953	22	28	adas	adas	PROPN
cana-953	22	29	)	)	PUNCT
cana-953	22	30	to	to	PART
cana-953	22	31	dynamically	dynamically	ADV
cana-953	22	32	adjust	adjust	VERB
cana-953	22	33	the	the	DET
cana-953	22	34	allocation	allocation	NOUN
cana-953	22	35	of	of	ADP
cana-953	22	36	resources	resource	NOUN
cana-953	22	37	in	in	ADP
cana-953	22	38	real	real	ADJ
cana-953	22	39	timestamp	timestamp	NOUN
cana-953	22	40	with	with	ADP
cana-953	22	41	regard	regard	NOUN
cana-953	22	42	to	to	ADP
cana-953	22	43	system	system	NOUN
cana-953	22	44	performance	performance	NOUN
cana-953	22	45	and	and	CCONJ
cana-953	22	46	workload	workload	NOUN
cana-953	22	47	characteristics	characteristic	NOUN
cana-953	22	48	.	.	PUNCT
cana-953	23	1	the	the	DET
cana-953	23	2	need	need	NOUN
cana-953	23	3	for	for	ADP
cana-953	23	4	this	this	PRON
cana-953	23	5	is	be	AUX
cana-953	23	6	that	that	SCONJ
cana-953	23	7	existing	exist	VERB
cana-953	23	8	static	static	ADJ
cana-953	23	9	scheduling	scheduling	NOUN
cana-953	23	10	algorithms	algorithm	NOUN
cana-953	23	11	have	have	VERB
cana-953	23	12	inherent	inherent	ADJ
cana-953	23	13	limitations	limitation	NOUN
cana-953	23	14	designed	design	VERB
cana-953	23	15	under	under	ADP
cana-953	23	16	conditions	condition	NOUN
cana-953	23	17	of	of	ADP
cana-953	23	18	predictable	predictable	ADJ
cana-953	23	19	and	and	CCONJ
cana-953	23	20	uniform	uniform	ADJ
cana-953	23	21	workloads	workload	NOUN
cana-953	23	22	,	,	PUNCT
cana-953	23	23	conditions	condition	NOUN
cana-953	23	24	that	that	PRON
cana-953	23	25	seldom	seldom	ADV
cana-953	23	26	prevail	prevail	VERB
cana-953	23	27	in	in	ADP
cana-953	23	28	a	a	DET
cana-953	23	29	real	real	ADJ
cana-953	23	30	-	-	PUNCT
cana-953	23	31	world	world	NOUN
cana-953	23	32	scenario	scenario	NOUN
cana-953	23	33	.	.	PUNCT
cana-953	24	1	these	these	DET
cana-953	24	2	conventional	conventional	ADJ
cana-953	24	3	methods	method	NOUN
cana-953	24	4	tend	tend	VERB
cana-953	24	5	not	not	PART
cana-953	24	6	to	to	PART
cana-953	24	7	respond	respond	VERB
cana-953	24	8	effectively	effectively	ADV
cana-953	24	9	to	to	ADP
cana-953	24	10	the	the	DET
cana-953	24	11	spontaneous	spontaneous	ADJ
cana-953	24	12	variations	variation	NOUN
cana-953	24	13	in	in	ADP
cana-953	24	14	the	the	DET
cana-953	24	15	characteristics	characteristic	NOUN
cana-953	24	16	of	of	ADP
cana-953	24	17	the	the	DET
cana-953	24	18	jobs	job	NOUN
cana-953	24	19	and	and	CCONJ
cana-953	24	20	the	the	DET
cana-953	24	21	system	system	NOUN
cana-953	24	22	status	status	NOUN
cana-953	24	23	,	,	PUNCT
cana-953	24	24	which	which	PRON
cana-953	24	25	often	often	ADV
cana-953	24	26	lead	lead	VERB
cana-953	24	27	to	to	ADP
cana-953	24	28	suboptimal	suboptimal	ADJ
cana-953	24	29	distribution	distribution	NOUN
cana-953	24	30	of	of	ADP
cana-953	24	31	resources	resource	NOUN
cana-953	24	32	and	and	CCONJ
cana-953	24	33	protracted	protract	VERB
cana-953	24	34	delays	delay	NOUN
cana-953	24	35	in	in	ADP
cana-953	24	36	the	the	DET
cana-953	24	37	completion	completion	NOUN
cana-953	24	38	of	of	ADP
cana-953	24	39	jobs	job	NOUN
cana-953	24	40	.	.	PUNCT
cana-953	25	1	to	to	PART
cana-953	25	2	make	make	VERB
cana-953	25	3	up	up	ADP
cana-953	25	4	for	for	ADP
cana-953	25	5	these	these	DET
cana-953	25	6	challenges	challenge	NOUN
cana-953	25	7	,	,	PUNCT
cana-953	25	8	our	our	PRON
cana-953	25	9	proposed	propose	VERB
cana-953	25	10	framework	framework	NOUN
cana-953	25	11	includes	include	VERB
cana-953	25	12	a	a	DET
cana-953	25	13	drdjs	drdjs	NOUN
cana-953	25	14	that	that	PRON
cana-953	25	15	utilizes	utilize	VERB
cana-953	25	16	deep	deep	ADJ
cana-953	25	17	reinforcement	reinforcement	NOUN
cana-953	25	18	learning	learning	NOUN
cana-953	25	19	to	to	PART
cana-953	25	20	learn	learn	VERB
cana-953	25	21	continuously	continuously	ADV
cana-953	25	22	from	from	ADP
cana-953	25	23	system	system	NOUN
cana-953	25	24	states	state	NOUN
cana-953	25	25	and	and	CCONJ
cana-953	25	26	job	job	NOUN
cana-953	25	27	execution	execution	NOUN
cana-953	25	28	feedback	feedback	NOUN
cana-953	25	29	toward	toward	ADP
cana-953	25	30	optimizing	optimize	VERB
cana-953	25	31	scheduling	scheduling	NOUN
cana-953	25	32	decisions	decision	NOUN
cana-953	25	33	in	in	ADP
cana-953	25	34	real	real	ADJ
cana-953	25	35	-	-	PUNCT
cana-953	25	36	time	time	NOUN
cana-953	25	37	.	.	PUNCT
cana-953	26	1	this	this	DET
cana-953	26	2	method	method	NOUN
cana-953	26	3	improves	improve	VERB
cana-953	26	4	not	not	PART
cana-953	26	5	only	only	ADV
cana-953	26	6	the	the	DET
cana-953	26	7	efficiency	efficiency	NOUN
cana-953	26	8	of	of	ADP
cana-953	26	9	resource	resource	NOUN
cana-953	26	10	allocation	allocation	NOUN
cana-953	26	11	but	but	CCONJ
cana-953	26	12	also	also	ADV
cana-953	26	13	the	the	DET
cana-953	26	14	reduction	reduction	NOUN
cana-953	26	15	of	of	ADP
cana-953	26	16	the	the	DET
cana-953	26	17	completion	completion	NOUN
cana-953	26	18	timestamp	timestamp	NOUN
cana-953	26	19	of	of	ADP
cana-953	26	20	various	various	ADJ
cana-953	26	21	jobs	job	NOUN
cana-953	26	22	,	,	PUNCT
cana-953	26	23	hence	hence	ADV
cana-953	26	24	providing	provide	VERB
cana-953	26	25	better	well	ADJ
cana-953	26	26	system	system	NOUN
cana-953	26	27	throughput	throughput	NOUN
cana-953	26	28	.	.	PUNCT
cana-953	27	1	complementing	complement	VERB
cana-953	27	2	this	this	DET
cana-953	27	3	approach	approach	NOUN
cana-953	27	4	,	,	PUNCT
cana-953	27	5	adas	adas	PROPN
cana-953	27	6	applies	apply	VERB
cana-953	27	7	anomaly	anomaly	NOUN
cana-953	27	8	detection	detection	NOUN
cana-953	27	9	techniques	technique	NOUN
cana-953	27	10	to	to	ADP
cana-953	27	11	real	real	ADJ
cana-953	27	12	-	-	PUNCT
cana-953	27	13	time	time	NOUN
cana-953	27	14	system	system	NOUN
cana-953	27	15	logs	log	NOUN
cana-953	27	16	and	and	CCONJ
cana-953	27	17	performance	performance	NOUN
cana-953	27	18	metrics	metric	NOUN
cana-953	27	19	for	for	ADP
cana-953	27	20	identifying	identify	VERB
cana-953	27	21	and	and	CCONJ
cana-953	27	22	prioritizing	prioritize	VERB
cana-953	27	23	critical	critical	ADJ
cana-953	27	24	tasks	task	NOUN
cana-953	27	25	requiring	require	VERB
cana-953	27	26	immediate	immediate	ADJ
cana-953	27	27	attention	attention	NOUN
cana-953	27	28	.	.	PUNCT
cana-953	28	1	this	this	DET
cana-953	28	2	adaptive	adaptive	ADJ
cana-953	28	3	method	method	NOUN
cana-953	28	4	ensures	ensure	VERB
cana-953	28	5	that	that	SCONJ
cana-953	28	6	system	system	NOUN
cana-953	28	7	performance	performance	NOUN
cana-953	28	8	does	do	AUX
cana-953	28	9	not	not	PART
cana-953	28	10	degrade	degrade	VERB
cana-953	28	11	when	when	SCONJ
cana-953	28	12	unexpected	unexpected	ADJ
cana-953	28	13	deviations	deviation	NOUN
cana-953	28	14	happen	happen	VERB
cana-953	28	15	;	;	PUNCT
cana-953	28	16	that	that	PRON
cana-953	28	17	is	is	ADV
cana-953	28	18	,	,	PUNCT
cana-953	28	19	it	it	PRON
cana-953	28	20	stabilizes	stabilize	VERB
cana-953	28	21	the	the	DET
cana-953	28	22	environment	environment	NOUN
cana-953	28	23	of	of	ADP
cana-953	28	24	processing	processing	NOUN
cana-953	28	25	and	and	CCONJ
cana-953	28	26	reduces	reduce	VERB
cana-953	28	27	potential	potential	ADJ
cana-953	28	28	delays	delay	NOUN
cana-953	28	29	.	.	PUNCT
cana-953	29	1	more	more	ADV
cana-953	29	2	importantly	importantly	ADV
cana-953	29	3	,	,	PUNCT
cana-953	29	4	the	the	DET
cana-953	29	5	integration	integration	NOUN
cana-953	29	6	of	of	ADP
cana-953	29	7	cluster	cluster	NOUN
cana-953	29	8	-	-	PUNCT
cana-953	29	9	based	base	VERB
cana-953	29	10	job	job	NOUN
cana-953	29	11	categorization	categorization	NOUN
cana-953	29	12	and	and	CCONJ
cana-953	29	13	scheduling	scheduling	NOUN
cana-953	29	14	(	(	PUNCT
cana-953	29	15	cjcs	cjcs	NOUN
cana-953	29	16	)	)	PUNCT
cana-953	29	17	within	within	ADP
cana-953	29	18	our	our	PRON
cana-953	29	19	framework	framework	NOUN
cana-953	29	20	makes	make	VERB
cana-953	29	21	use	use	NOUN
cana-953	29	22	of	of	ADP
cana-953	29	23	clustering	clustering	ADJ
cana-953	29	24	algorithms	algorithm	NOUN
cana-953	29	25	to	to	ADP
cana-953	29	26	group	group	NOUN
cana-953	29	27	jobs	job	NOUN
cana-953	29	28	with	with	ADP
cana-953	29	29	similar	similar	ADJ
cana-953	29	30	characteristics	characteristic	NOUN
cana-953	29	31	.	.	PUNCT
cana-953	30	1	such	such	ADJ
cana-953	30	2	categorization	categorization	NOUN
cana-953	30	3	aids	aid	VERB
cana-953	30	4	the	the	DET
cana-953	30	5	creation	creation	NOUN
cana-953	30	6	of	of	ADP
cana-953	30	7	tailored	tailor	VERB
cana-953	30	8	scheduling	scheduling	NOUN
cana-953	30	9	policies	policy	NOUN
cana-953	30	10	optimized	optimize	VERB
cana-953	30	11	for	for	ADP
cana-953	30	12	specific	specific	ADJ
cana-953	30	13	clusters	cluster	NOUN
cana-953	30	14	and	and	CCONJ
cana-953	30	15	thereby	thereby	ADV
cana-953	30	16	enhances	enhance	VERB
cana-953	30	17	the	the	DET
cana-953	30	18	precision	precision	NOUN
cana-953	30	19	of	of	ADP
cana-953	30	20	resource	resource	NOUN
cana-953	30	21	allocation	allocation	NOUN
cana-953	30	22	,	,	PUNCT
cana-953	30	23	further	far	ADV
cana-953	30	24	reducing	reduce	VERB
cana-953	30	25	processing	processing	NOUN
cana-953	30	26	delays	delay	NOUN
cana-953	30	27	.	.	PUNCT
cana-953	31	1	the	the	DET
cana-953	31	2	convergence	convergence	NOUN
cana-953	31	3	of	of	ADP
cana-953	31	4	such	such	ADJ
cana-953	31	5	path	path	NOUN
cana-953	31	6	-	-	PUNCT
cana-953	31	7	breaking	break	VERB
cana-953	31	8	innovative	innovative	ADJ
cana-953	31	9	scheduling	scheduling	NOUN
cana-953	31	10	methods	method	NOUN
cana-953	31	11	within	within	ADP
cana-953	31	12	one	one	NUM
cana-953	31	13	integrated	integrate	VERB
cana-953	31	14	framework	framework	NOUN
cana-953	31	15	marks	mark	VERB
cana-953	31	16	a	a	DET
cana-953	31	17	great	great	ADJ
cana-953	31	18	stride	stride	NOUN
cana-953	31	19	toward	toward	ADP
cana-953	31	20	the	the	DET
cana-953	31	21	achievement	achievement	NOUN
cana-953	31	22	of	of	ADP
cana-953	31	23	a	a	DET
cana-953	31	24	resilient	resilient	ADJ
cana-953	31	25	and	and	CCONJ
cana-953	31	26	efficient	efficient	ADJ
cana-953	31	27	distributed	distribute	VERB
cana-953	31	28	computing	computing	NOUN
cana-953	31	29	environment	environment	NOUN
cana-953	31	30	.	.	PUNCT
cana-953	32	1	this	this	DET
cana-953	32	2	introduction	introduction	NOUN
cana-953	32	3	gives	give	VERB
cana-953	32	4	way	way	NOUN
cana-953	32	5	to	to	ADP
cana-953	32	6	the	the	DET
cana-953	32	7	in	in	ADP
cana-953	32	8	-	-	PUNCT
cana-953	32	9	depth	depth	NOUN
cana-953	32	10	discussion	discussion	NOUN
cana-953	32	11	of	of	ADP
cana-953	32	12	the	the	DET
cana-953	32	13	methodologies	methodology	NOUN
cana-953	32	14	,	,	PUNCT
cana-953	32	15	implementation	implementation	NOUN
cana-953	32	16	,	,	PUNCT
cana-953	32	17	and	and	CCONJ
cana-953	32	18	impactful	impactful	ADJ
cana-953	32	19	results	result	NOUN
cana-953	32	20	of	of	ADP
cana-953	32	21	the	the	DET
cana-953	32	22	proposed	propose	VERB
cana-953	32	23	scheduling	scheduling	NOUN
cana-953	32	24	framework	framework	NOUN
cana-953	32	25	that	that	PRON
cana-953	32	26	,	,	PUNCT
cana-953	32	27	when	when	SCONJ
cana-953	32	28	considered	consider	VERB
cana-953	32	29	collectively	collectively	ADV
cana-953	32	30	,	,	PUNCT
cana-953	32	31	enhance	enhance	VERB
cana-953	32	32	the	the	DET
cana-953	32	33	robustness	robustness	NOUN
cana-953	32	34	and	and	CCONJ
cana-953	32	35	adaptability	adaptability	NOUN
cana-953	32	36	of	of	ADP
cana-953	32	37	the	the	DET
cana-953	32	38	mapreduce	mapreduce	PROPN
cana-953	32	39	architectures	architecture	NOUN
cana-953	32	40	.	.	PUNCT
cana-953	33	1	motivation	motivation	NOUN
cana-953	33	2	&	&	CCONJ
cana-953	33	3	contribution	contribution	NOUN
cana-953	33	4	the	the	DET
cana-953	33	5	exponential	exponential	ADJ
cana-953	33	6	growth	growth	NOUN
cana-953	33	7	in	in	ADP
cana-953	33	8	data	datum	NOUN
cana-953	33	9	generation	generation	NOUN
cana-953	33	10	and	and	CCONJ
cana-953	33	11	the	the	DET
cana-953	33	12	ever	ever	ADV
cana-953	33	13	-	-	PUNCT
cana-953	33	14	increasing	increase	VERB
cana-953	33	15	complexity	complexity	NOUN
cana-953	33	16	of	of	ADP
cana-953	33	17	computational	computational	ADJ
cana-953	33	18	tasks	task	NOUN
cana-953	33	19	have	have	AUX
cana-953	33	20	significantly	significantly	ADV
cana-953	33	21	pressured	pressure	VERB
cana-953	33	22	traditional	traditional	ADJ
cana-953	33	23	data	datum	NOUN
cana-953	33	24	processing	processing	NOUN
cana-953	33	25	frameworks	framework	NOUN
cana-953	33	26	,	,	PUNCT
cana-953	33	27	particularly	particularly	ADV
cana-953	33	28	in	in	ADP
cana-953	33	29	the	the	DET
cana-953	33	30	context	context	NOUN
cana-953	33	31	of	of	ADP
cana-953	33	32	distributed	distribute	VERB
cana-953	33	33	computing	computing	NOUN
cana-953	33	34	environments	environment	NOUN
cana-953	33	35	like	like	ADP
cana-953	33	36	mapreduce	mapreduce	PROPN
cana-953	33	37	.	.	PUNCT
cana-953	34	1	although	although	SCONJ
cana-953	34	2	mapreduce	mapreduce	PROPN
cana-953	34	3	has	have	AUX
cana-953	34	4	been	be	AUX
cana-953	34	5	instrumental	instrumental	ADJ
cana-953	34	6	in	in	ADP
cana-953	34	7	handling	handle	VERB
cana-953	34	8	large	large	ADJ
cana-953	34	9	-	-	PUNCT
cana-953	34	10	scale	scale	NOUN
cana-953	34	11	data	datum	NOUN
cana-953	34	12	processing	processing	NOUN
cana-953	34	13	by	by	ADP
cana-953	34	14	decomposing	decompose	VERB
cana-953	34	15	tasks	task	NOUN
cana-953	34	16	into	into	ADP
cana-953	34	17	smaller	small	ADJ
cana-953	34	18	,	,	PUNCT
cana-953	34	19	manageable	manageable	ADJ
cana-953	34	20	batches	batch	NOUN
cana-953	34	21	executed	execute	VERB
cana-953	34	22	across	across	ADP
cana-953	34	23	various	various	ADJ
cana-953	34	24	nodes	node	NOUN
cana-953	34	25	,	,	PUNCT
cana-953	34	26	its	its	PRON
cana-953	34	27	efficiency	efficiency	NOUN
cana-953	34	28	heavily	heavily	ADV
cana-953	34	29	relies	rely	VERB
cana-953	34	30	on	on	ADP
cana-953	34	31	the	the	DET
cana-953	34	32	underlying	underlie	VERB
cana-953	34	33	job	job	NOUN
cana-953	34	34	scheduling	scheduling	NOUN
cana-953	34	35	mechanisms	mechanism	NOUN
cana-953	34	36	.	.	PUNCT
cana-953	35	1	traditional	traditional	ADJ
cana-953	35	2	job	job	NOUN
cana-953	35	3	scheduling	scheduling	NOUN
cana-953	35	4	strategies	strategy	NOUN
cana-953	35	5	typically	typically	ADV
cana-953	35	6	adopt	adopt	VERB
cana-953	35	7	a	a	DET
cana-953	35	8	static	static	ADJ
cana-953	35	9	approach	approach	NOUN
cana-953	35	10	,	,	PUNCT
cana-953	35	11	predetermining	predetermine	VERB
cana-953	35	12	job	job	NOUN
cana-953	35	13	execution	execution	NOUN
cana-953	35	14	without	without	ADP
cana-953	35	15	considering	consider	VERB
cana-953	35	16	the	the	DET
cana-953	35	17	dynamic	dynamic	ADJ
cana-953	35	18	nature	nature	NOUN
cana-953	35	19	of	of	ADP
cana-953	35	20	the	the	DET
cana-953	35	21	runtime	runtime	NOUN
cana-953	35	22	environment	environment	NOUN
cana-953	35	23	or	or	CCONJ
cana-953	35	24	workload	workload	NOUN
cana-953	35	25	variability	variability	NOUN
cana-953	35	26	.	.	PUNCT
cana-953	36	1	such	such	ADJ
cana-953	36	2	communications	communication	NOUN
cana-953	36	3	on	on	ADP
cana-953	36	4	applied	apply	VERB
cana-953	36	5	nonlinear	nonlinear	ADJ
cana-953	36	6	analysis	analysis	NOUN
cana-953	36	7	issn	issn	NOUN
cana-953	36	8	:	:	PUNCT
cana-953	36	9	1074	1074	NUM
cana-953	36	10	-	-	PUNCT
cana-953	36	11	133x	133x	NUM
cana-953	36	12	vol	vol	NOUN
cana-953	36	13	31	31	NUM
cana-953	36	14	no	no	NOUN
cana-953	36	15	.	.	PUNCT
cana-953	37	1	4s	4s	NUM
cana-953	37	2	(	(	PUNCT
cana-953	37	3	2024	2024	NUM
cana-953	37	4	)	)	PUNCT
cana-953	37	5	601	601	NUM
cana-953	37	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	37	7	static	static	ADJ
cana-953	37	8	scheduling	scheduling	NOUN
cana-953	37	9	often	often	ADV
cana-953	37	10	results	result	VERB
cana-953	37	11	in	in	ADP
cana-953	37	12	inefficient	inefficient	ADJ
cana-953	37	13	resource	resource	NOUN
cana-953	37	14	utilization	utilization	NOUN
cana-953	37	15	,	,	PUNCT
cana-953	37	16	longer	long	ADV
cana-953	37	17	job	job	VERB
cana-953	37	18	completion	completion	NOUN
cana-953	37	19	times	time	NOUN
cana-953	37	20	,	,	PUNCT
cana-953	37	21	and	and	CCONJ
cana-953	37	22	increased	increase	VERB
cana-953	37	23	latency	latency	NOUN
cana-953	37	24	,	,	PUNCT
cana-953	37	25	particularly	particularly	ADV
cana-953	37	26	under	under	ADP
cana-953	37	27	fluctuating	fluctuate	VERB
cana-953	37	28	network	network	NOUN
cana-953	37	29	conditions	condition	NOUN
cana-953	37	30	and	and	CCONJ
cana-953	37	31	diverse	diverse	ADJ
cana-953	37	32	job	job	NOUN
cana-953	37	33	requirements	requirement	NOUN
cana-953	37	34	.	.	PUNCT
cana-953	38	1	this	this	DET
cana-953	38	2	scenario	scenario	NOUN
cana-953	38	3	underscores	underscore	VERB
cana-953	38	4	a	a	DET
cana-953	38	5	critical	critical	ADJ
cana-953	38	6	need	need	NOUN
cana-953	38	7	for	for	ADP
cana-953	38	8	a	a	DET
cana-953	38	9	more	more	ADV
cana-953	38	10	adaptive	adaptive	ADJ
cana-953	38	11	scheduling	scheduling	NOUN
cana-953	38	12	framework	framework	NOUN
cana-953	38	13	that	that	PRON
cana-953	38	14	can	can	AUX
cana-953	38	15	intelligently	intelligently	ADV
cana-953	38	16	respond	respond	VERB
cana-953	38	17	to	to	ADP
cana-953	38	18	real	real	ADJ
cana-953	38	19	-	-	PUNCT
cana-953	38	20	time	time	NOUN
cana-953	38	21	changes	change	NOUN
cana-953	38	22	in	in	ADP
cana-953	38	23	the	the	DET
cana-953	38	24	system	system	NOUN
cana-953	38	25	state	state	NOUN
cana-953	38	26	and	and	CCONJ
cana-953	38	27	workload	workload	NOUN
cana-953	38	28	characteristics	characteristic	NOUN
cana-953	38	29	,	,	PUNCT
cana-953	38	30	thereby	thereby	ADV
cana-953	38	31	optimizing	optimize	VERB
cana-953	38	32	resource	resource	NOUN
cana-953	38	33	allocation	allocation	NOUN
cana-953	38	34	,	,	PUNCT
cana-953	38	35	reducing	reduce	VERB
cana-953	38	36	processing	processing	NOUN
cana-953	38	37	times	time	NOUN
cana-953	38	38	,	,	PUNCT
cana-953	38	39	and	and	CCONJ
cana-953	38	40	improving	improve	VERB
cana-953	38	41	overall	overall	ADJ
cana-953	38	42	system	system	NOUN
cana-953	38	43	throughput	throughput	NOUN
cana-953	38	44	.	.	PUNCT
cana-953	39	1	in	in	ADP
cana-953	39	2	response	response	NOUN
cana-953	39	3	to	to	ADP
cana-953	39	4	these	these	DET
cana-953	39	5	challenges	challenge	NOUN
cana-953	39	6	,	,	PUNCT
cana-953	39	7	this	this	DET
cana-953	39	8	paper	paper	NOUN
cana-953	39	9	contributes	contribute	VERB
cana-953	39	10	a	a	DET
cana-953	39	11	robust	robust	ADJ
cana-953	39	12	scheduling	scheduling	NOUN
cana-953	39	13	framework	framework	NOUN
cana-953	39	14	specifically	specifically	ADV
cana-953	39	15	designed	design	VERB
cana-953	39	16	for	for	ADP
cana-953	39	17	mapreduce	mapreduce	NOUN
cana-953	39	18	environments	environment	NOUN
cana-953	39	19	,	,	PUNCT
cana-953	39	20	which	which	PRON
cana-953	39	21	integrates	integrate	VERB
cana-953	39	22	advanced	advanced	ADJ
cana-953	39	23	machine	machine	NOUN
cana-953	39	24	learning	learn	VERB
cana-953	39	25	techniques	technique	NOUN
cana-953	39	26	to	to	PART
cana-953	39	27	enhance	enhance	VERB
cana-953	39	28	the	the	DET
cana-953	39	29	adaptability	adaptability	NOUN
cana-953	39	30	and	and	CCONJ
cana-953	39	31	efficiency	efficiency	NOUN
cana-953	39	32	of	of	ADP
cana-953	39	33	job	job	NOUN
cana-953	39	34	scheduling	scheduling	NOUN
cana-953	39	35	.	.	PUNCT
cana-953	40	1	the	the	DET
cana-953	40	2	core	core	NOUN
cana-953	40	3	of	of	ADP
cana-953	40	4	our	our	PRON
cana-953	40	5	contribution	contribution	NOUN
cana-953	40	6	lies	lie	VERB
cana-953	40	7	in	in	ADP
cana-953	40	8	the	the	DET
cana-953	40	9	development	development	NOUN
cana-953	40	10	and	and	CCONJ
cana-953	40	11	implementation	implementation	NOUN
cana-953	40	12	of	of	ADP
cana-953	40	13	three	three	NUM
cana-953	40	14	innovative	innovative	ADJ
cana-953	40	15	scheduling	scheduling	NOUN
cana-953	40	16	strategies	strategy	NOUN
cana-953	40	17	:	:	PUNCT
cana-953	40	18	deep	deep	ADJ
cana-953	40	19	reinforcement	reinforcement	NOUN
cana-953	40	20	learning	learning	NOUN
cana-953	40	21	for	for	ADP
cana-953	40	22	dynamic	dynamic	ADJ
cana-953	40	23	job	job	NOUN
cana-953	40	24	scheduling	scheduling	NOUN
cana-953	40	25	(	(	PUNCT
cana-953	40	26	drdjs	drdjs	NOUN
cana-953	40	27	)	)	PUNCT
cana-953	40	28	,	,	PUNCT
cana-953	40	29	anomaly	anomaly	NOUN
cana-953	40	30	detection	detection	NOUN
cana-953	40	31	-	-	PUNCT
cana-953	40	32	driven	drive	VERB
cana-953	40	33	adaptive	adaptive	ADJ
cana-953	40	34	scheduling	scheduling	NOUN
cana-953	40	35	(	(	PUNCT
cana-953	40	36	adas	adas	PROPN
cana-953	40	37	)	)	PUNCT
cana-953	40	38	,	,	PUNCT
cana-953	40	39	and	and	CCONJ
cana-953	40	40	cluster	cluster	NOUN
cana-953	40	41	-	-	PUNCT
cana-953	40	42	based	base	VERB
cana-953	40	43	job	job	NOUN
cana-953	40	44	categorization	categorization	NOUN
cana-953	40	45	and	and	CCONJ
cana-953	40	46	scheduling	scheduling	NOUN
cana-953	40	47	(	(	PUNCT
cana-953	40	48	cjcs	cjcs	NOUN
cana-953	40	49	)	)	PUNCT
cana-953	40	50	.	.	PUNCT
cana-953	41	1	drdjs	drdj	VERB
cana-953	41	2	leverages	leverage	NOUN
cana-953	41	3	deep	deep	ADJ
cana-953	41	4	reinforcement	reinforcement	NOUN
cana-953	41	5	learning	learning	NOUN
cana-953	41	6	algorithms	algorithm	NOUN
cana-953	41	7	to	to	PART
cana-953	41	8	form	form	VERB
cana-953	41	9	a	a	DET
cana-953	41	10	self	self	NOUN
cana-953	41	11	-	-	PUNCT
cana-953	41	12	learning	learn	VERB
cana-953	41	13	scheduling	scheduling	NOUN
cana-953	41	14	system	system	NOUN
cana-953	41	15	that	that	PRON
cana-953	41	16	dynamically	dynamically	ADV
cana-953	41	17	adapts	adapt	VERB
cana-953	41	18	its	its	PRON
cana-953	41	19	strategies	strategy	NOUN
cana-953	41	20	based	base	VERB
cana-953	41	21	on	on	ADP
cana-953	41	22	continuous	continuous	ADJ
cana-953	41	23	feedback	feedback	NOUN
cana-953	41	24	from	from	ADP
cana-953	41	25	the	the	DET
cana-953	41	26	system	system	NOUN
cana-953	41	27	’s	’s	PART
cana-953	41	28	performance	performance	NOUN
cana-953	41	29	and	and	CCONJ
cana-953	41	30	the	the	DET
cana-953	41	31	job	job	NOUN
cana-953	41	32	execution	execution	NOUN
cana-953	41	33	outcomes	outcome	NOUN
cana-953	41	34	.	.	PUNCT
cana-953	42	1	this	this	DET
cana-953	42	2	method	method	NOUN
cana-953	42	3	significantly	significantly	ADV
cana-953	42	4	reduces	reduce	VERB
cana-953	42	5	job	job	NOUN
cana-953	42	6	completion	completion	NOUN
cana-953	42	7	times	time	NOUN
cana-953	42	8	by	by	ADP
cana-953	42	9	constantly	constantly	ADV
cana-953	42	10	optimizing	optimize	VERB
cana-953	42	11	the	the	DET
cana-953	42	12	decision	decision	NOUN
cana-953	42	13	-	-	PUNCT
cana-953	42	14	making	make	VERB
cana-953	42	15	process	process	NOUN
cana-953	42	16	in	in	ADP
cana-953	42	17	real	real	ADJ
cana-953	42	18	-	-	PUNCT
cana-953	42	19	time	time	NOUN
cana-953	42	20	,	,	PUNCT
cana-953	42	21	thereby	thereby	ADV
cana-953	42	22	ensuring	ensure	VERB
cana-953	42	23	that	that	SCONJ
cana-953	42	24	the	the	DET
cana-953	42	25	scheduling	scheduling	NOUN
cana-953	42	26	decisions	decision	NOUN
cana-953	42	27	are	be	AUX
cana-953	42	28	always	always	ADV
cana-953	42	29	aligned	align	VERB
cana-953	42	30	with	with	ADP
cana-953	42	31	the	the	DET
cana-953	42	32	current	current	ADJ
cana-953	42	33	state	state	NOUN
cana-953	42	34	of	of	ADP
cana-953	42	35	the	the	DET
cana-953	42	36	system	system	NOUN
cana-953	42	37	and	and	CCONJ
cana-953	42	38	job	job	NOUN
cana-953	42	39	queue	queue	NOUN
cana-953	42	40	characteristics	characteristic	NOUN
cana-953	42	41	.	.	PUNCT
cana-953	43	1	meanwhile	meanwhile	ADV
cana-953	43	2	,	,	PUNCT
cana-953	43	3	adas	adas	PROPN
cana-953	43	4	introduces	introduce	VERB
cana-953	43	5	anomaly	anomaly	NOUN
cana-953	43	6	detection	detection	NOUN
cana-953	43	7	to	to	ADP
cana-953	43	8	the	the	DET
cana-953	43	9	scheduling	scheduling	NOUN
cana-953	43	10	process	process	NOUN
cana-953	43	11	,	,	PUNCT
cana-953	43	12	enabling	enable	VERB
cana-953	43	13	the	the	DET
cana-953	43	14	system	system	NOUN
cana-953	43	15	to	to	PART
cana-953	43	16	proactively	proactively	ADV
cana-953	43	17	adjust	adjust	VERB
cana-953	43	18	its	its	PRON
cana-953	43	19	resource	resource	NOUN
cana-953	43	20	allocation	allocation	NOUN
cana-953	43	21	strategies	strategy	NOUN
cana-953	43	22	in	in	ADP
cana-953	43	23	response	response	NOUN
cana-953	43	24	to	to	ADP
cana-953	43	25	anomalies	anomaly	NOUN
cana-953	43	26	detected	detect	VERB
cana-953	43	27	in	in	ADP
cana-953	43	28	system	system	NOUN
cana-953	43	29	performance	performance	NOUN
cana-953	43	30	or	or	CCONJ
cana-953	43	31	job	job	NOUN
cana-953	43	32	execution	execution	NOUN
cana-953	43	33	patterns	pattern	NOUN
cana-953	43	34	.	.	PUNCT
cana-953	44	1	this	this	DET
cana-953	44	2	proactive	proactive	ADJ
cana-953	44	3	approach	approach	NOUN
cana-953	44	4	not	not	PART
cana-953	44	5	only	only	ADV
cana-953	44	6	mitigates	mitigate	VERB
cana-953	44	7	the	the	DET
cana-953	44	8	impact	impact	NOUN
cana-953	44	9	of	of	ADP
cana-953	44	10	unexpected	unexpected	ADJ
cana-953	44	11	system	system	NOUN
cana-953	44	12	behaviors	behavior	NOUN
cana-953	44	13	but	but	CCONJ
cana-953	44	14	also	also	ADV
cana-953	44	15	ensures	ensure	VERB
cana-953	44	16	the	the	DET
cana-953	44	17	prioritization	prioritization	NOUN
cana-953	44	18	of	of	ADP
cana-953	44	19	critical	critical	ADJ
cana-953	44	20	jobs	job	NOUN
cana-953	44	21	,	,	PUNCT
cana-953	44	22	thereby	thereby	ADV
cana-953	44	23	maintaining	maintain	VERB
cana-953	44	24	system	system	NOUN
cana-953	44	25	stability	stability	NOUN
cana-953	44	26	and	and	CCONJ
cana-953	44	27	reducing	reduce	VERB
cana-953	44	28	the	the	DET
cana-953	44	29	potential	potential	NOUN
cana-953	44	30	for	for	ADP
cana-953	44	31	job	job	NOUN
cana-953	44	32	slowdowns	slowdown	NOUN
cana-953	44	33	.	.	PUNCT
cana-953	45	1	lastly	lastly	ADV
cana-953	45	2	,	,	PUNCT
cana-953	45	3	cjcs	cjc	NOUN
cana-953	45	4	utilizes	utilize	VERB
cana-953	45	5	clustering	cluster	VERB
cana-953	45	6	algorithms	algorithm	NOUN
cana-953	45	7	to	to	PART
cana-953	45	8	analyze	analyze	VERB
cana-953	45	9	and	and	CCONJ
cana-953	45	10	categorize	categorize	VERB
cana-953	45	11	jobs	job	NOUN
cana-953	45	12	based	base	VERB
cana-953	45	13	on	on	ADP
cana-953	45	14	their	their	PRON
cana-953	45	15	resource	resource	NOUN
cana-953	45	16	demands	demand	NOUN
cana-953	45	17	and	and	CCONJ
cana-953	45	18	execution	execution	NOUN
cana-953	45	19	characteristics	characteristic	NOUN
cana-953	45	20	.	.	PUNCT
cana-953	46	1	by	by	ADP
cana-953	46	2	grouping	group	VERB
cana-953	46	3	similar	similar	ADJ
cana-953	46	4	jobs	job	NOUN
cana-953	46	5	into	into	ADP
cana-953	46	6	clusters	cluster	NOUN
cana-953	46	7	and	and	CCONJ
cana-953	46	8	developing	develop	VERB
cana-953	46	9	optimized	optimize	VERB
cana-953	46	10	scheduling	scheduling	NOUN
cana-953	46	11	policies	policy	NOUN
cana-953	46	12	for	for	ADP
cana-953	46	13	each	each	DET
cana-953	46	14	cluster	cluster	NOUN
cana-953	46	15	,	,	PUNCT
cana-953	46	16	this	this	DET
cana-953	46	17	method	method	NOUN
cana-953	46	18	facilitates	facilitate	VERB
cana-953	46	19	more	more	ADV
cana-953	46	20	precise	precise	ADJ
cana-953	46	21	resource	resource	NOUN
cana-953	46	22	allocation	allocation	NOUN
cana-953	46	23	,	,	PUNCT
cana-953	46	24	reducing	reduce	VERB
cana-953	46	25	resource	resource	NOUN
cana-953	46	26	wastage	wastage	NOUN
cana-953	46	27	and	and	CCONJ
cana-953	46	28	enhancing	enhance	VERB
cana-953	46	29	the	the	DET
cana-953	46	30	efficiency	efficiency	NOUN
cana-953	46	31	of	of	ADP
cana-953	46	32	job	job	NOUN
cana-953	46	33	processing	processing	NOUN
cana-953	46	34	across	across	ADP
cana-953	46	35	the	the	DET
cana-953	46	36	distributed	distribute	VERB
cana-953	46	37	network	network	NOUN
cana-953	46	38	.	.	PUNCT
cana-953	47	1	the	the	DET
cana-953	47	2	integration	integration	NOUN
cana-953	47	3	of	of	ADP
cana-953	47	4	these	these	DET
cana-953	47	5	three	three	NUM
cana-953	47	6	methods	method	NOUN
cana-953	47	7	forms	form	VERB
cana-953	47	8	a	a	DET
cana-953	47	9	comprehensive	comprehensive	ADJ
cana-953	47	10	,	,	PUNCT
cana-953	47	11	intelligent	intelligent	ADJ
cana-953	47	12	framework	framework	NOUN
cana-953	47	13	that	that	PRON
cana-953	47	14	not	not	PART
cana-953	47	15	only	only	ADV
cana-953	47	16	addresses	address	VERB
cana-953	47	17	the	the	DET
cana-953	47	18	limitations	limitation	NOUN
cana-953	47	19	of	of	ADP
cana-953	47	20	traditional	traditional	ADJ
cana-953	47	21	static	static	ADJ
cana-953	47	22	scheduling	scheduling	NOUN
cana-953	47	23	but	but	CCONJ
cana-953	47	24	also	also	ADV
cana-953	47	25	sets	set	VERB
cana-953	47	26	a	a	DET
cana-953	47	27	new	new	ADJ
cana-953	47	28	standard	standard	NOUN
cana-953	47	29	for	for	ADP
cana-953	47	30	job	job	NOUN
cana-953	47	31	scheduling	scheduling	NOUN
cana-953	47	32	in	in	ADP
cana-953	47	33	distributed	distribute	VERB
cana-953	47	34	computing	computing	NOUN
cana-953	47	35	environments	environment	NOUN
cana-953	47	36	.	.	PUNCT
cana-953	48	1	the	the	DET
cana-953	48	2	proposed	propose	VERB
cana-953	48	3	framework	framework	NOUN
cana-953	48	4	's	's	PART
cana-953	48	5	ability	ability	NOUN
cana-953	48	6	to	to	PART
cana-953	48	7	adapt	adapt	VERB
cana-953	48	8	to	to	ADP
cana-953	48	9	changing	change	VERB
cana-953	48	10	conditions	condition	NOUN
cana-953	48	11	and	and	CCONJ
cana-953	48	12	its	its	PRON
cana-953	48	13	proactive	proactive	ADJ
cana-953	48	14	approach	approach	NOUN
cana-953	48	15	to	to	ADP
cana-953	48	16	job	job	NOUN
cana-953	48	17	and	and	CCONJ
cana-953	48	18	resource	resource	NOUN
cana-953	48	19	management	management	NOUN
cana-953	48	20	significantly	significantly	ADV
cana-953	48	21	improve	improve	VERB
cana-953	48	22	the	the	DET
cana-953	48	23	performance	performance	NOUN
cana-953	48	24	and	and	CCONJ
cana-953	48	25	reliability	reliability	NOUN
cana-953	48	26	of	of	ADP
cana-953	48	27	mapreduce	mapreduce	NOUN
cana-953	48	28	operations	operation	NOUN
cana-953	48	29	.	.	PUNCT
cana-953	49	1	empirical	empirical	ADJ
cana-953	49	2	results	result	NOUN
cana-953	49	3	obtained	obtain	VERB
cana-953	49	4	from	from	ADP
cana-953	49	5	extensive	extensive	ADJ
cana-953	49	6	simulations	simulation	NOUN
cana-953	49	7	and	and	CCONJ
cana-953	49	8	real	real	ADJ
cana-953	49	9	-	-	PUNCT
cana-953	49	10	world	world	NOUN
cana-953	49	11	deployments	deployment	NOUN
cana-953	49	12	indicate	indicate	VERB
cana-953	49	13	that	that	SCONJ
cana-953	49	14	our	our	PRON
cana-953	49	15	framework	framework	NOUN
cana-953	49	16	can	can	AUX
cana-953	49	17	reduce	reduce	VERB
cana-953	49	18	job	job	NOUN
cana-953	49	19	completion	completion	NOUN
cana-953	49	20	times	time	NOUN
cana-953	49	21	and	and	CCONJ
cana-953	49	22	resource	resource	NOUN
cana-953	49	23	consumption	consumption	NOUN
cana-953	49	24	significantly	significantly	ADV
cana-953	49	25	compared	compare	VERB
cana-953	49	26	to	to	ADP
cana-953	49	27	existing	exist	VERB
cana-953	49	28	scheduling	scheduling	NOUN
cana-953	49	29	approaches	approach	NOUN
cana-953	49	30	,	,	PUNCT
cana-953	49	31	thereby	thereby	ADV
cana-953	49	32	validating	validate	VERB
cana-953	49	33	the	the	DET
cana-953	49	34	effectiveness	effectiveness	NOUN
cana-953	49	35	of	of	ADP
cana-953	49	36	our	our	PRON
cana-953	49	37	contributions	contribution	NOUN
cana-953	49	38	.	.	PUNCT
cana-953	50	1	this	this	DET
cana-953	50	2	work	work	NOUN
cana-953	50	3	not	not	PART
cana-953	50	4	only	only	ADV
cana-953	50	5	provides	provide	VERB
cana-953	50	6	a	a	DET
cana-953	50	7	practical	practical	ADJ
cana-953	50	8	solution	solution	NOUN
cana-953	50	9	to	to	ADP
cana-953	50	10	the	the	DET
cana-953	50	11	challenges	challenge	NOUN
cana-953	50	12	faced	face	VERB
cana-953	50	13	in	in	ADP
cana-953	50	14	distributed	distribute	VERB
cana-953	50	15	computing	compute	VERB
cana-953	50	16	job	job	NOUN
cana-953	50	17	scheduling	scheduling	NOUN
cana-953	50	18	but	but	CCONJ
cana-953	50	19	also	also	ADV
cana-953	50	20	opens	open	VERB
cana-953	50	21	new	new	ADJ
cana-953	50	22	avenues	avenue	NOUN
cana-953	50	23	for	for	ADP
cana-953	50	24	research	research	NOUN
cana-953	50	25	in	in	ADP
cana-953	50	26	intelligent	intelligent	ADJ
cana-953	50	27	,	,	PUNCT
cana-953	50	28	adaptive	adaptive	ADJ
cana-953	50	29	systems	system	NOUN
cana-953	50	30	that	that	PRON
cana-953	50	31	can	can	AUX
cana-953	50	32	revolutionize	revolutionize	VERB
cana-953	50	33	the	the	DET
cana-953	50	34	efficiency	efficiency	NOUN
cana-953	50	35	of	of	ADP
cana-953	50	36	large	large	ADJ
cana-953	50	37	-	-	PUNCT
cana-953	50	38	scale	scale	NOUN
cana-953	50	39	data	datum	NOUN
cana-953	50	40	processing	processing	NOUN
cana-953	50	41	architectures	architecture	NOUN
cana-953	50	42	.	.	PUNCT
cana-953	51	1	through	through	ADP
cana-953	51	2	the	the	DET
cana-953	51	3	detailed	detailed	ADJ
cana-953	51	4	exposition	exposition	NOUN
cana-953	51	5	of	of	ADP
cana-953	51	6	each	each	DET
cana-953	51	7	method	method	NOUN
cana-953	51	8	's	's	PART
cana-953	51	9	development	development	NOUN
cana-953	51	10	and	and	CCONJ
cana-953	51	11	integration	integration	NOUN
cana-953	51	12	,	,	PUNCT
cana-953	51	13	this	this	DET
cana-953	51	14	paper	paper	NOUN
cana-953	51	15	aims	aim	VERB
cana-953	51	16	to	to	PART
cana-953	51	17	inspire	inspire	VERB
cana-953	51	18	further	further	ADJ
cana-953	51	19	innovations	innovation	NOUN
cana-953	51	20	in	in	ADP
cana-953	51	21	the	the	DET
cana-953	51	22	field	field	NOUN
cana-953	51	23	and	and	CCONJ
cana-953	51	24	provide	provide	VERB
cana-953	51	25	a	a	DET
cana-953	51	26	scalable	scalable	ADJ
cana-953	51	27	,	,	PUNCT
cana-953	51	28	efficient	efficient	ADJ
cana-953	51	29	solution	solution	NOUN
cana-953	51	30	adaptable	adaptable	ADJ
cana-953	51	31	to	to	ADP
cana-953	51	32	various	various	ADJ
cana-953	51	33	distributed	distribute	VERB
cana-953	51	34	computing	compute	VERB
cana-953	51	35	scenarios	scenario	NOUN
cana-953	51	36	.	.	PUNCT
cana-953	52	1	communications	communication	NOUN
cana-953	52	2	on	on	ADP
cana-953	52	3	applied	apply	VERB
cana-953	52	4	nonlinear	nonlinear	ADJ
cana-953	52	5	analysis	analysis	NOUN
cana-953	52	6	issn	issn	NOUN
cana-953	52	7	:	:	PUNCT
cana-953	52	8	1074	1074	NUM
cana-953	52	9	-	-	PUNCT
cana-953	52	10	133x	133x	NUM
cana-953	52	11	vol	vol	NOUN
cana-953	52	12	31	31	NUM
cana-953	52	13	no	no	NOUN
cana-953	52	14	.	.	PUNCT
cana-953	53	1	4s	4s	NUM
cana-953	53	2	(	(	PUNCT
cana-953	53	3	2024	2024	NUM
cana-953	53	4	)	)	PUNCT
cana-953	53	5	602	602	NUM
cana-953	53	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	53	7	2	2	X
cana-953	53	8	.	.	X
cana-953	53	9	literature	literature	NOUN
cana-953	53	10	review	review	VERB
cana-953	53	11	the	the	DET
cana-953	53	12	landscape	landscape	NOUN
cana-953	53	13	of	of	ADP
cana-953	53	14	mapreduce	mapreduce	PROPN
cana-953	53	15	task	task	PROPN
cana-953	53	16	scheduling	scheduling	NOUN
cana-953	53	17	has	have	AUX
cana-953	53	18	seen	see	VERB
cana-953	53	19	significant	significant	ADJ
cana-953	53	20	advancements	advancement	NOUN
cana-953	53	21	in	in	ADP
cana-953	53	22	recent	recent	ADJ
cana-953	53	23	years	year	NOUN
cana-953	53	24	,	,	PUNCT
cana-953	53	25	driven	drive	VERB
cana-953	53	26	by	by	ADP
cana-953	53	27	the	the	DET
cana-953	53	28	ever	ever	ADV
cana-953	53	29	-	-	PUNCT
cana-953	53	30	increasing	increase	VERB
cana-953	53	31	demand	demand	NOUN
cana-953	53	32	for	for	ADP
cana-953	53	33	efficient	efficient	ADJ
cana-953	53	34	processing	processing	NOUN
cana-953	53	35	of	of	ADP
cana-953	53	36	big	big	ADJ
cana-953	53	37	data	datum	NOUN
cana-953	53	38	in	in	ADP
cana-953	53	39	various	various	ADJ
cana-953	53	40	computing	compute	VERB
cana-953	53	41	environments	environment	NOUN
cana-953	53	42	.	.	PUNCT
cana-953	54	1	in	in	ADP
cana-953	54	2	this	this	DET
cana-953	54	3	section	section	NOUN
cana-953	54	4	,	,	PUNCT
cana-953	54	5	we	we	PRON
cana-953	54	6	discuss	discuss	VERB
cana-953	54	7	papers	paper	NOUN
cana-953	54	8	that	that	PRON
cana-953	54	9	contribute	contribute	VERB
cana-953	54	10	to	to	ADP
cana-953	54	11	this	this	DET
cana-953	54	12	domain	domain	NOUN
cana-953	54	13	,	,	PUNCT
cana-953	54	14	exploring	explore	VERB
cana-953	54	15	the	the	DET
cana-953	54	16	methods	method	NOUN
cana-953	54	17	used	use	VERB
cana-953	54	18	,	,	PUNCT
cana-953	54	19	findings	finding	NOUN
cana-953	54	20	,	,	PUNCT
cana-953	54	21	results	result	NOUN
cana-953	54	22	,	,	PUNCT
cana-953	54	23	and	and	CCONJ
cana-953	54	24	limitations	limitation	NOUN
cana-953	54	25	of	of	ADP
cana-953	54	26	each	each	DET
cana-953	54	27	study	study	NOUN
cana-953	54	28	process	process	NOUN
cana-953	54	29	.	.	PUNCT
cana-953	55	1	the	the	DET
cana-953	55	2	primary	primary	ADJ
cana-953	55	3	objective	objective	NOUN
cana-953	55	4	of	of	ADP
cana-953	55	5	mapreduce	mapreduce	PROPN
cana-953	55	6	task	task	PROPN
cana-953	55	7	scheduling	scheduling	NOUN
cana-953	55	8	is	be	AUX
cana-953	55	9	to	to	PART
cana-953	55	10	optimize	optimize	VERB
cana-953	55	11	resource	resource	NOUN
cana-953	55	12	utilization	utilization	NOUN
cana-953	55	13	,	,	PUNCT
cana-953	55	14	reduce	reduce	VERB
cana-953	55	15	job	job	NOUN
cana-953	55	16	completion	completion	NOUN
cana-953	55	17	times	time	NOUN
cana-953	55	18	,	,	PUNCT
cana-953	55	19	and	and	CCONJ
cana-953	55	20	enhance	enhance	VERB
cana-953	55	21	overall	overall	ADJ
cana-953	55	22	system	system	NOUN
cana-953	55	23	performance	performance	NOUN
cana-953	55	24	.	.	PUNCT
cana-953	56	1	achieving	achieve	VERB
cana-953	56	2	these	these	DET
cana-953	56	3	goals	goal	NOUN
cana-953	56	4	requires	require	VERB
cana-953	56	5	innovative	innovative	ADJ
cana-953	56	6	approaches	approach	NOUN
cana-953	56	7	that	that	PRON
cana-953	56	8	address	address	VERB
cana-953	56	9	the	the	DET
cana-953	56	10	unique	unique	ADJ
cana-953	56	11	challenges	challenge	NOUN
cana-953	56	12	posed	pose	VERB
cana-953	56	13	by	by	ADP
cana-953	56	14	heterogeneous	heterogeneous	ADJ
cana-953	56	15	environments	environment	NOUN
cana-953	56	16	,	,	PUNCT
cana-953	56	17	dynamic	dynamic	ADJ
cana-953	56	18	workloads	workload	NOUN
cana-953	56	19	,	,	PUNCT
cana-953	56	20	and	and	CCONJ
cana-953	56	21	diverse	diverse	ADJ
cana-953	56	22	application	application	NOUN
cana-953	56	23	requirements	requirement	NOUN
cana-953	56	24	.	.	PUNCT
cana-953	57	1	from	from	ADP
cana-953	57	2	traditional	traditional	ADJ
cana-953	57	3	heuristic	heuristic	ADJ
cana-953	57	4	algorithms	algorithm	NOUN
cana-953	57	5	to	to	ADP
cana-953	57	6	cutting	cut	VERB
cana-953	57	7	-	-	PUNCT
cana-953	57	8	edge	edge	NOUN
cana-953	57	9	machine	machine	NOUN
cana-953	57	10	learning	learn	VERB
cana-953	57	11	techniques	technique	NOUN
cana-953	57	12	,	,	PUNCT
cana-953	57	13	researchers	researcher	NOUN
cana-953	57	14	have	have	AUX
cana-953	57	15	explored	explore	VERB
cana-953	57	16	a	a	DET
cana-953	57	17	wide	wide	ADJ
cana-953	57	18	range	range	NOUN
cana-953	57	19	of	of	ADP
cana-953	57	20	methodologies	methodology	NOUN
cana-953	57	21	to	to	PART
cana-953	57	22	tackle	tackle	VERB
cana-953	57	23	these	these	DET
cana-953	57	24	challenges	challenge	NOUN
cana-953	57	25	.	.	PUNCT
cana-953	58	1	reference	reference	NOUN
cana-953	58	2	method	method	NOUN
cana-953	58	3	used	use	VERB
cana-953	58	4	findings	finding	NOUN
cana-953	58	5	results	result	VERB
cana-953	58	6	limitations	limitation	NOUN
cana-953	58	7	[	[	X
cana-953	58	8	1	1	NUM
cana-953	58	9	]	]	PUNCT
cana-953	58	10	pair	pair	NOUN
cana-953	58	11	jobs	job	NOUN
cana-953	58	12	for	for	ADP
cana-953	58	13	optimization	optimization	NOUN
cana-953	58	14	joint	joint	ADJ
cana-953	58	15	scheduling	scheduling	NOUN
cana-953	58	16	of	of	ADP
cana-953	58	17	overlapping	overlap	VERB
cana-953	58	18	mapreduce	mapreduce	NOUN
cana-953	58	19	phases	phase	NOUN
cana-953	58	20	improved	improve	VERB
cana-953	58	21	makespan	makespan	ADP
cana-953	58	22	optimization	optimization	NOUN
cana-953	58	23	limited	limit	VERB
cana-953	58	24	to	to	PART
cana-953	58	25	map	map	VERB
cana-953	58	26	and	and	CCONJ
cana-953	58	27	shuffle	shuffle	VERB
cana-953	58	28	phases	phase	NOUN
cana-953	58	29	[	[	X
cana-953	58	30	2	2	NUM
cana-953	58	31	]	]	PUNCT
cana-953	58	32	hungarian	hungarian	ADJ
cana-953	58	33	algorithm	algorithm	NOUN
cana-953	58	34	mapreduce	mapreduce	PROPN
cana-953	58	35	task	task	PROPN
cana-953	58	36	scheduling	scheduling	NOUN
cana-953	58	37	in	in	ADP
cana-953	58	38	heterogeneous	heterogeneous	ADJ
cana-953	58	39	geodistributed	geodistribute	VERB
cana-953	58	40	data	data	NOUN
cana-953	58	41	centers	center	NOUN
cana-953	58	42	enhanced	enhance	VERB
cana-953	58	43	total	total	ADJ
cana-953	58	44	tardiness	tardiness	NOUN
cana-953	58	45	assumes	assume	VERB
cana-953	58	46	fixed	fix	VERB
cana-953	58	47	data	datum	NOUN
cana-953	58	48	center	center	NOUN
cana-953	58	49	locations	location	NOUN
cana-953	58	50	[	[	X
cana-953	58	51	3	3	X
cana-953	58	52	]	]	X
cana-953	58	53	ant	ant	ADJ
cana-953	58	54	colony	colony	NOUN
cana-953	58	55	optimization	optimization	NOUN
cana-953	58	56	optimizing	optimize	VERB
cana-953	58	57	mapreduce	mapreduce	PROPN
cana-953	58	58	task	task	NOUN
cana-953	58	59	scheduling	scheduling	NOUN
cana-953	58	60	on	on	ADP
cana-953	58	61	virtualized	virtualize	VERB
cana-953	58	62	heterogeneous	heterogeneous	ADJ
cana-953	58	63	environments	environment	NOUN
cana-953	58	64	improved	improve	VERB
cana-953	58	65	resource	resource	NOUN
cana-953	58	66	utilization	utilization	NOUN
cana-953	58	67	might	might	AUX
cana-953	58	68	face	face	VERB
cana-953	58	69	scalability	scalability	NOUN
cana-953	58	70	issues	issue	NOUN
cana-953	58	71	[	[	X
cana-953	58	72	4	4	X
cana-953	58	73	]	]	PUNCT
cana-953	58	74	trust	trust	NOUN
cana-953	58	75	-	-	PUNCT
cana-953	58	76	aware	aware	ADJ
cana-953	58	77	framework	framework	NOUN
cana-953	58	78	trust	trust	NOUN
cana-953	58	79	-	-	PUNCT
cana-953	58	80	based	base	VERB
cana-953	58	81	scheduling	scheduling	NOUN
cana-953	58	82	framework	framework	NOUN
cana-953	58	83	for	for	ADP
cana-953	58	84	big	big	ADJ
cana-953	58	85	data	datum	NOUN
cana-953	58	86	processing	processing	NOUN
cana-953	58	87	with	with	ADP
cana-953	58	88	mapreduce	mapreduce	PROPN
cana-953	58	89	enhanced	enhance	VERB
cana-953	58	90	big	big	ADJ
cana-953	58	91	data	datum	NOUN
cana-953	58	92	security	security	NOUN
cana-953	58	93	assumes	assume	VERB
cana-953	58	94	trust	trust	NOUN
cana-953	58	95	levels	level	NOUN
cana-953	58	96	can	can	AUX
cana-953	58	97	be	be	AUX
cana-953	58	98	accurately	accurately	ADV
cana-953	58	99	determined	determine	VERB
cana-953	58	100	[	[	PUNCT
cana-953	58	101	5	5	NUM
cana-953	58	102	]	]	X
cana-953	58	103	topology	topology	NOUN
cana-953	58	104	-	-	PUNCT
cana-953	58	105	aware	aware	ADJ
cana-953	58	106	assignment	assignment	NOUN
cana-953	58	107	joint	joint	ADJ
cana-953	58	108	optimization	optimization	NOUN
cana-953	58	109	of	of	ADP
cana-953	58	110	mapreduce	mapreduce	PROPN
cana-953	58	111	scheduling	scheduling	NOUN
cana-953	58	112	and	and	CCONJ
cana-953	58	113	network	network	NOUN
cana-953	58	114	policy	policy	NOUN
cana-953	58	115	in	in	ADP
cana-953	58	116	hierarchical	hierarchical	ADJ
cana-953	58	117	data	datum	NOUN
cana-953	58	118	centers	center	NOUN
cana-953	58	119	improved	improve	VERB
cana-953	58	120	network	network	NOUN
cana-953	58	121	policy	policy	NOUN
cana-953	58	122	integration	integration	NOUN
cana-953	58	123	limited	limit	VERB
cana-953	58	124	to	to	ADP
cana-953	58	125	hierarchical	hierarchical	ADJ
cana-953	58	126	data	datum	NOUN
cana-953	58	127	centers	center	NOUN
cana-953	58	128	[	[	X
cana-953	58	129	6	6	NUM
cana-953	58	130	]	]	X
cana-953	58	131	new	new	ADJ
cana-953	58	132	scheduling	scheduling	NOUN
cana-953	58	133	algorithms	algorithm	NOUN
cana-953	58	134	scheduling	scheduling	NOUN
cana-953	58	135	algorithms	algorithm	NOUN
cana-953	58	136	for	for	ADP
cana-953	58	137	improving	improve	VERB
cana-953	58	138	performance	performance	NOUN
cana-953	58	139	and	and	CCONJ
cana-953	58	140	resource	resource	NOUN
cana-953	58	141	utilization	utilization	NOUN
cana-953	58	142	in	in	ADP
cana-953	58	143	hadoop	hadoop	NOUN
cana-953	58	144	yarn	yarn	NOUN
cana-953	58	145	clusters	cluster	NOUN
cana-953	58	146	enhanced	enhance	VERB
cana-953	58	147	resource	resource	NOUN
cana-953	58	148	management	management	NOUN
cana-953	58	149	scalability	scalability	NOUN
cana-953	58	150	concerns	concern	NOUN
cana-953	58	151	with	with	ADP
cana-953	58	152	large	large	ADJ
cana-953	58	153	clusters	cluster	NOUN
cana-953	58	154	[	[	X
cana-953	58	155	7	7	NUM
cana-953	58	156	]	]	ADJ
cana-953	58	157	approximation	approximation	NOUN
cana-953	58	158	algorithm	algorithm	NOUN
cana-953	58	159	regularization	regularization	NOUN
cana-953	58	160	-	-	PUNCT
cana-953	58	161	based	base	VERB
cana-953	58	162	coflow	coflow	ADJ
cana-953	58	163	scheduling	scheduling	NOUN
cana-953	58	164	in	in	ADP
cana-953	58	165	optical	optical	ADJ
cana-953	58	166	circuit	circuit	NOUN
cana-953	58	167	switches	switch	NOUN
cana-953	58	168	improved	improve	VERB
cana-953	58	169	coflow	coflow	NOUN
cana-953	58	170	scheduling	scheduling	NOUN
cana-953	58	171	limited	limit	VERB
cana-953	58	172	to	to	ADP
cana-953	58	173	optical	optical	ADJ
cana-953	58	174	circuit	circuit	NOUN
cana-953	58	175	switches	switch	NOUN
cana-953	58	176	[	[	X
cana-953	58	177	8	8	NUM
cana-953	58	178	]	]	PUNCT
cana-953	58	179	heuristic	heuristic	ADJ
cana-953	58	180	algorithms	algorithm	NOUN
cana-953	58	181	cost	cost	NOUN
cana-953	58	182	-	-	PUNCT
cana-953	58	183	efficient	efficient	ADJ
cana-953	58	184	workflow	workflow	NOUN
cana-953	58	185	scheduling	scheduling	NOUN
cana-953	58	186	algorithm	algorithm	NOUN
cana-953	58	187	for	for	ADP
cana-953	58	188	applications	application	NOUN
cana-953	58	189	with	with	ADP
cana-953	58	190	deadline	deadline	NOUN
cana-953	58	191	constraints	constraint	NOUN
cana-953	58	192	on	on	ADP
cana-953	58	193	heterogeneous	heterogeneous	ADJ
cana-953	58	194	clouds	cloud	NOUN
cana-953	58	195	enhanced	enhance	VERB
cana-953	58	196	schedule	schedule	NOUN
cana-953	58	197	length	length	NOUN
cana-953	58	198	might	might	AUX
cana-953	58	199	not	not	PART
cana-953	58	200	handle	handle	VERB
cana-953	58	201	dynamic	dynamic	ADJ
cana-953	58	202	workload	workload	NOUN
cana-953	58	203	changes	change	NOUN
cana-953	58	204	efficiently	efficiently	ADV
cana-953	59	1	[	[	X
cana-953	59	2	9	9	NUM
cana-953	59	3	]	]	X
cana-953	59	4	convex	convex	NOUN
cana-953	59	5	optimization	optimization	NOUN
cana-953	59	6	coflow	coflow	NOUN
cana-953	59	7	scheduling	scheduling	NOUN
cana-953	59	8	in	in	ADP
cana-953	59	9	data	datum	NOUN
cana-953	59	10	centers	center	NOUN
cana-953	59	11	:	:	PUNCT
cana-953	59	12	routing	routing	NOUN
cana-953	59	13	and	and	CCONJ
cana-953	59	14	bandwidth	bandwidth	ADJ
cana-953	59	15	allocation	allocation	NOUN
cana-953	59	16	optimized	optimize	VERB
cana-953	59	17	coflow	coflow	NOUN
cana-953	59	18	scheduling	scheduling	NOUN
cana-953	59	19	limited	limit	VERB
cana-953	59	20	to	to	PART
cana-953	59	21	convex	convex	VERB
cana-953	59	22	optimization	optimization	NOUN
cana-953	59	23	scenarios	scenario	NOUN
cana-953	59	24	[	[	X
cana-953	59	25	10	10	NUM
cana-953	59	26	]	]	X
cana-953	59	27	divisible	divisible	ADJ
cana-953	59	28	task	task	NOUN
cana-953	59	29	scheduling	scheduling	NOUN
cana-953	59	30	scheduling	scheduling	NOUN
cana-953	59	31	-	-	PUNCT
cana-953	59	32	guided	guide	VERB
cana-953	59	33	automatic	automatic	ADJ
cana-953	59	34	processing	processing	NOUN
cana-953	59	35	of	of	ADP
cana-953	59	36	massive	massive	ADJ
cana-953	59	37	hyperspectral	hyperspectral	ADJ
cana-953	59	38	image	image	NOUN
cana-953	59	39	classification	classification	NOUN
cana-953	59	40	on	on	ADP
cana-953	59	41	cloud	cloud	NOUN
cana-953	59	42	computing	computing	NOUN
cana-953	59	43	architectures	architecture	NOUN
cana-953	59	44	improved	improve	VERB
cana-953	59	45	hyperspectral	hyperspectral	ADJ
cana-953	59	46	image	image	NOUN
cana-953	59	47	classification	classification	NOUN
cana-953	59	48	might	might	AUX
cana-953	59	49	face	face	VERB
cana-953	59	50	challenges	challenge	NOUN
cana-953	59	51	with	with	ADP
cana-953	59	52	large	large	ADJ
cana-953	59	53	-	-	PUNCT
cana-953	59	54	scale	scale	NOUN
cana-953	59	55	image	image	NOUN
cana-953	59	56	datasets	dataset	NOUN
cana-953	59	57	communications	communication	NOUN
cana-953	59	58	on	on	ADP
cana-953	59	59	applied	apply	VERB
cana-953	59	60	nonlinear	nonlinear	ADJ
cana-953	59	61	analysis	analysis	NOUN
cana-953	59	62	issn	issn	NOUN
cana-953	59	63	:	:	PUNCT
cana-953	59	64	1074	1074	NUM
cana-953	59	65	-	-	PUNCT
cana-953	59	66	133x	133x	NUM
cana-953	59	67	vol	vol	NOUN
cana-953	59	68	31	31	NUM
cana-953	59	69	no	no	NOUN
cana-953	59	70	.	.	PUNCT
cana-953	60	1	4s	4s	NUM
cana-953	60	2	(	(	PUNCT
cana-953	60	3	2024	2024	NUM
cana-953	60	4	)	)	PUNCT
cana-953	60	5	603	603	NUM
cana-953	61	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	62	1	[	[	X
cana-953	62	2	11	11	NUM
cana-953	62	3	]	]	PUNCT
cana-953	62	4	sampling	sample	VERB
cana-953	62	5	-	-	PUNCT
cana-953	62	6	based	base	VERB
cana-953	62	7	learning	learn	VERB
cana-953	62	8	a	a	DET
cana-953	62	9	case	case	NOUN
cana-953	62	10	for	for	ADP
cana-953	62	11	sampling	sample	VERB
cana-953	62	12	-	-	PUNCT
cana-953	62	13	based	base	VERB
cana-953	62	14	learning	learning	NOUN
cana-953	62	15	techniques	technique	NOUN
cana-953	62	16	in	in	ADP
cana-953	62	17	coflow	coflow	ADJ
cana-953	62	18	scheduling	scheduling	NOUN
cana-953	62	19	enhanced	enhance	VERB
cana-953	62	20	scalability	scalability	NOUN
cana-953	62	21	assumes	assume	VERB
cana-953	62	22	accurate	accurate	ADJ
cana-953	62	23	sampling	sample	VERB
cana-953	62	24	for	for	ADP
cana-953	62	25	learning	learn	VERB
cana-953	62	26	[	[	X
cana-953	62	27	12	12	NUM
cana-953	62	28	]	]	PUNCT
cana-953	62	29	heuristic	heuristic	ADJ
cana-953	62	30	energy	energy	NOUN
cana-953	62	31	utilization	utilization	NOUN
cana-953	62	32	task	task	NOUN
cana-953	62	33	scheduling	scheduling	NOUN
cana-953	62	34	for	for	ADP
cana-953	62	35	mapreduce	mapreduce	PROPN
cana-953	62	36	in	in	ADP
cana-953	62	37	heterogeneous	heterogeneous	ADJ
cana-953	62	38	clusters	cluster	NOUN
cana-953	62	39	improved	improve	VERB
cana-953	62	40	energy	energy	NOUN
cana-953	62	41	consumption	consumption	NOUN
cana-953	62	42	might	might	AUX
cana-953	62	43	not	not	PART
cana-953	62	44	handle	handle	VERB
cana-953	62	45	fluctuating	fluctuate	VERB
cana-953	62	46	energy	energy	NOUN
cana-953	62	47	demands	demand	NOUN
cana-953	62	48	efficiently	efficiently	ADV
cana-953	62	49	[	[	X
cana-953	62	50	13	13	NUM
cana-953	62	51	]	]	SYM
cana-953	62	52	flexible	flexible	ADJ
cana-953	62	53	heuristic	heuristic	NOUN
cana-953	62	54	a	a	DET
cana-953	62	55	flexible	flexible	ADJ
cana-953	62	56	heuristic	heuristic	NOUN
cana-953	62	57	to	to	PART
cana-953	62	58	schedule	schedule	VERB
cana-953	62	59	distributed	distribute	VERB
cana-953	62	60	analytic	analytic	ADJ
cana-953	62	61	applications	application	NOUN
cana-953	62	62	in	in	ADP
cana-953	62	63	compute	compute	NOUN
cana-953	62	64	clusters	cluster	NOUN
cana-953	62	65	enhanced	enhance	VERB
cana-953	62	66	scheduling	scheduling	NOUN
cana-953	62	67	flexibility	flexibility	NOUN
cana-953	62	68	might	might	AUX
cana-953	62	69	not	not	PART
cana-953	62	70	scale	scale	VERB
cana-953	62	71	well	well	ADV
cana-953	62	72	with	with	ADP
cana-953	62	73	large	large	ADJ
cana-953	62	74	cluster	cluster	NOUN
cana-953	62	75	sizes	size	NOUN
cana-953	62	76	[	[	X
cana-953	62	77	14	14	NUM
cana-953	62	78	]	]	SYM
cana-953	62	79	optimization	optimization	NOUN
cana-953	62	80	joint	joint	ADJ
cana-953	62	81	reducer	reducer	NOUN
cana-953	62	82	placement	placement	NOUN
cana-953	62	83	and	and	CCONJ
cana-953	62	84	coflow	coflow	ADJ
cana-953	62	85	bandwidth	bandwidth	ADJ
cana-953	62	86	scheduling	scheduling	NOUN
cana-953	62	87	for	for	ADP
cana-953	62	88	computing	compute	VERB
cana-953	62	89	clusters	cluster	NOUN
cana-953	62	90	improved	improve	VERB
cana-953	62	91	computing	computing	NOUN
cana-953	62	92	cluster	cluster	NOUN
cana-953	62	93	optimization	optimization	NOUN
cana-953	62	94	limited	limit	VERB
cana-953	62	95	to	to	ADP
cana-953	62	96	specific	specific	ADJ
cana-953	62	97	cluster	cluster	NOUN
cana-953	62	98	configurations	configuration	NOUN
cana-953	62	99	[	[	X
cana-953	62	100	15	15	NUM
cana-953	62	101	]	]	X
cana-953	62	102	gpgpu	gpgpu	PROPN
cana-953	62	103	aeml	aeml	NOUN
cana-953	62	104	:	:	PUNCT
cana-953	62	105	an	an	DET
cana-953	62	106	acceleration	acceleration	NOUN
cana-953	62	107	engine	engine	NOUN
cana-953	62	108	for	for	ADP
cana-953	62	109	multi	multi	ADJ
cana-953	62	110	-	-	ADJ
cana-953	62	111	gpu	gpu	ADJ
cana-953	62	112	loadbalancing	loadbalancing	NOUN
cana-953	62	113	in	in	ADP
cana-953	62	114	distributed	distribute	VERB
cana-953	62	115	heterogeneous	heterogeneous	ADJ
cana-953	62	116	environment	environment	NOUN
cana-953	62	117	enhanced	enhance	VERB
cana-953	62	118	load	load	NOUN
cana-953	62	119	balancing	balance	VERB
cana-953	62	120	might	might	AUX
cana-953	62	121	face	face	VERB
cana-953	62	122	challenges	challenge	NOUN
cana-953	62	123	with	with	ADP
cana-953	62	124	heterogeneous	heterogeneous	ADJ
cana-953	62	125	gpu	gpu	NOUN
cana-953	62	126	configurations	configuration	NOUN
cana-953	62	127	[	[	X
cana-953	62	128	16	16	NUM
cana-953	62	129	]	]	X
cana-953	62	130	replication	replication	NOUN
cana-953	62	131	-	-	PUNCT
cana-953	62	132	based	base	VERB
cana-953	62	133	query	query	NOUN
cana-953	62	134	management	management	NOUN
cana-953	62	135	replication	replication	NOUN
cana-953	62	136	-	-	PUNCT
cana-953	62	137	based	base	VERB
cana-953	62	138	query	query	NOUN
cana-953	62	139	management	management	NOUN
cana-953	62	140	for	for	ADP
cana-953	62	141	resource	resource	NOUN
cana-953	62	142	allocation	allocation	NOUN
cana-953	62	143	using	use	VERB
cana-953	62	144	hadoop	hadoop	NOUN
cana-953	62	145	and	and	CCONJ
cana-953	62	146	mapreduce	mapreduce	PROPN
cana-953	62	147	over	over	ADP
cana-953	62	148	big	big	ADJ
cana-953	62	149	data	datum	NOUN
cana-953	62	150	improved	improve	VERB
cana-953	62	151	resource	resource	NOUN
cana-953	62	152	allocation	allocation	NOUN
cana-953	62	153	limited	limit	VERB
cana-953	62	154	to	to	ADP
cana-953	62	155	specific	specific	ADJ
cana-953	62	156	big	big	ADJ
cana-953	62	157	data	datum	NOUN
cana-953	62	158	scenarios	scenario	NOUN
cana-953	62	159	[	[	X
cana-953	62	160	17	17	NUM
cana-953	62	161	]	]	PUNCT
cana-953	62	162	job	job	NOUN
cana-953	62	163	scheduler	scheduler	NOUN
cana-953	62	164	cooperative	cooperative	ADJ
cana-953	62	165	job	job	NOUN
cana-953	62	166	scheduling	scheduling	NOUN
cana-953	62	167	and	and	CCONJ
cana-953	62	168	data	datum	NOUN
cana-953	62	169	allocation	allocation	NOUN
cana-953	62	170	in	in	ADP
cana-953	62	171	dataintensive	dataintensive	ADJ
cana-953	62	172	parallel	parallel	ADJ
cana-953	62	173	computing	compute	VERB
cana-953	62	174	clusters	cluster	NOUN
cana-953	62	175	enhanced	enhance	VERB
cana-953	62	176	data	datum	NOUN
cana-953	62	177	locality	locality	NOUN
cana-953	62	178	limited	limit	VERB
cana-953	62	179	to	to	ADP
cana-953	62	180	parallel	parallel	ADJ
cana-953	62	181	computing	computing	NOUN
cana-953	62	182	clusters	cluster	NOUN
cana-953	62	183	[	[	X
cana-953	62	184	18	18	NUM
cana-953	62	185	]	]	PUNCT
cana-953	62	186	task	task	NOUN
cana-953	62	187	scheduling	scheduling	NOUN
cana-953	62	188	shadow	shadow	NOUN
cana-953	62	189	:	:	PUNCT
cana-953	62	190	exploiting	exploit	VERB
cana-953	62	191	the	the	DET
cana-953	62	192	power	power	NOUN
cana-953	62	193	of	of	ADP
cana-953	62	194	choice	choice	NOUN
cana-953	62	195	for	for	ADP
cana-953	62	196	efficient	efficient	ADJ
cana-953	62	197	shuffling	shuffling	NOUN
cana-953	62	198	in	in	ADP
cana-953	62	199	mapreduce	mapreduce	NOUN
cana-953	62	200	improved	improve	VERB
cana-953	62	201	shuffling	shuffling	NOUN
cana-953	62	202	efficiency	efficiency	NOUN
cana-953	62	203	might	might	AUX
cana-953	62	204	not	not	PART
cana-953	62	205	handle	handle	VERB
cana-953	62	206	highly	highly	ADV
cana-953	62	207	dynamic	dynamic	ADJ
cana-953	62	208	environments	environment	NOUN
cana-953	62	209	efficiently	efficiently	ADV
cana-953	62	210	[	[	X
cana-953	62	211	19	19	NUM
cana-953	62	212	]	]	SYM
cana-953	62	213	bottleneck	bottleneck	NOUN
cana-953	62	214	-	-	PUNCT
cana-953	62	215	aware	aware	ADJ
cana-953	62	216	scheduling	scheduling	NOUN
cana-953	62	217	bottleneck	bottleneck	NOUN
cana-953	62	218	-	-	PUNCT
cana-953	62	219	aware	aware	ADJ
cana-953	62	220	nonclairvoyant	nonclairvoyant	ADJ
cana-953	62	221	coflow	coflow	NOUN
cana-953	62	222	scheduling	scheduling	NOUN
cana-953	62	223	with	with	ADP
cana-953	62	224	fai	fai	X
cana-953	62	225	enhanced	enhance	VERB
cana-953	62	226	coflow	coflow	PROPN
cana-953	62	227	completion	completion	NOUN
cana-953	62	228	time	time	NOUN
cana-953	62	229	limited	limit	VERB
cana-953	62	230	to	to	ADP
cana-953	62	231	certain	certain	ADJ
cana-953	62	232	network	network	NOUN
cana-953	62	233	topologies	topology	NOUN
cana-953	62	234	[	[	X
cana-953	62	235	20	20	NUM
cana-953	62	236	]	]	PUNCT
cana-953	62	237	data	datum	NOUN
cana-953	62	238	affinity	affinity	NOUN
cana-953	62	239	task	task	NOUN
cana-953	62	240	scheduling	scheduling	NOUN
cana-953	62	241	for	for	ADP
cana-953	62	242	spark	spark	NOUN
cana-953	62	243	applications	application	NOUN
cana-953	62	244	with	with	ADP
cana-953	62	245	data	datum	NOUN
cana-953	62	246	affinity	affinity	NOUN
cana-953	62	247	on	on	ADP
cana-953	62	248	heterogeneous	heterogeneous	ADJ
cana-953	62	249	clusters	cluster	NOUN
cana-953	62	250	improved	improve	VERB
cana-953	62	251	task	task	NOUN
cana-953	62	252	scheduling	scheduling	NOUN
cana-953	62	253	efficiency	efficiency	NOUN
cana-953	62	254	assumes	assume	VERB
cana-953	62	255	accurate	accurate	ADJ
cana-953	62	256	data	datum	NOUN
cana-953	62	257	affinity	affinity	NOUN
cana-953	62	258	information	information	NOUN
cana-953	63	1	[	[	X
cana-953	63	2	21	21	NUM
cana-953	63	3	]	]	X
cana-953	63	4	dynamic	dynamic	ADJ
cana-953	63	5	scheduling	scheduling	NOUN
cana-953	63	6	optimizing	optimize	VERB
cana-953	63	7	internal	internal	ADJ
cana-953	63	8	overlaps	overlap	NOUN
cana-953	63	9	by	by	ADP
cana-953	63	10	self	self	NOUN
cana-953	63	11	-	-	PUNCT
cana-953	63	12	adjusting	adjust	VERB
cana-953	63	13	resource	resource	NOUN
cana-953	63	14	allocation	allocation	NOUN
cana-953	63	15	in	in	ADP
cana-953	63	16	multi	multi	ADJ
cana-953	63	17	-	-	ADJ
cana-953	63	18	stage	stage	ADJ
cana-953	63	19	computing	computing	NOUN
cana-953	63	20	systems	system	NOUN
cana-953	63	21	reduced	reduce	VERB
cana-953	63	22	makespan	makespan	ADV
cana-953	63	23	might	might	AUX
cana-953	63	24	not	not	PART
cana-953	63	25	handle	handle	VERB
cana-953	63	26	highly	highly	ADV
cana-953	63	27	dynamic	dynamic	ADJ
cana-953	63	28	workloads	workload	NOUN
cana-953	63	29	efficiently	efficiently	ADV
cana-953	63	30	[	[	X
cana-953	63	31	22	22	NUM
cana-953	63	32	]	]	PUNCT
cana-953	63	33	online	online	ADJ
cana-953	63	34	identification	identification	NOUN
cana-953	63	35	scheduling	scheduling	NOUN
cana-953	63	36	coflows	coflow	NOUN
cana-953	63	37	by	by	ADP
cana-953	63	38	online	online	ADJ
cana-953	63	39	identification	identification	NOUN
cana-953	63	40	in	in	ADP
cana-953	63	41	data	datum	NOUN
cana-953	63	42	center	center	NOUN
cana-953	63	43	network	network	NOUN
cana-953	63	44	improved	improve	VERB
cana-953	63	45	coflow	coflow	NOUN
cana-953	63	46	scheduling	scheduling	NOUN
cana-953	63	47	adaptability	adaptability	NOUN
cana-953	63	48	limited	limit	VERB
cana-953	63	49	to	to	ADP
cana-953	63	50	specific	specific	ADJ
cana-953	63	51	network	network	NOUN
cana-953	63	52	architectures	architecture	NOUN
cana-953	63	53	[	[	X
cana-953	63	54	23	23	NUM
cana-953	63	55	]	]	X
cana-953	63	56	green	green	ADJ
cana-953	63	57	parallel	parallel	ADJ
cana-953	63	58	computing	computing	NOUN
cana-953	63	59	towards	towards	ADP
cana-953	63	60	greening	green	VERB
cana-953	63	61	mapreduce	mapreduce	NOUN
cana-953	63	62	clusters	cluster	NOUN
cana-953	63	63	considering	consider	VERB
cana-953	63	64	both	both	CCONJ
cana-953	63	65	computation	computation	NOUN
cana-953	63	66	energy	energy	NOUN
cana-953	63	67	and	and	CCONJ
cana-953	63	68	cooling	cool	VERB
cana-953	63	69	energy	energy	NOUN
cana-953	63	70	enhanced	enhance	VERB
cana-953	63	71	energy	energy	NOUN
cana-953	63	72	efficiency	efficiency	NOUN
cana-953	63	73	limited	limit	VERB
cana-953	63	74	to	to	ADP
cana-953	63	75	specific	specific	ADJ
cana-953	63	76	cluster	cluster	NOUN
cana-953	63	77	cooling	cool	VERB
cana-953	63	78	infrastructures	infrastructure	NOUN
cana-953	63	79	communications	communication	NOUN
cana-953	63	80	on	on	ADP
cana-953	63	81	applied	apply	VERB
cana-953	63	82	nonlinear	nonlinear	ADJ
cana-953	63	83	analysis	analysis	NOUN
cana-953	63	84	issn	issn	NOUN
cana-953	63	85	:	:	PUNCT
cana-953	63	86	1074	1074	NUM
cana-953	63	87	-	-	PUNCT
cana-953	63	88	133x	133x	NUM
cana-953	63	89	vol	vol	NOUN
cana-953	63	90	31	31	NUM
cana-953	63	91	no	no	NOUN
cana-953	63	92	.	.	PUNCT
cana-953	64	1	4s	4s	NUM
cana-953	64	2	(	(	PUNCT
cana-953	64	3	2024	2024	NUM
cana-953	64	4	)	)	PUNCT
cana-953	64	5	604	604	NUM
cana-953	64	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	65	1	[	[	X
cana-953	65	2	24	24	NUM
cana-953	65	3	]	]	X
cana-953	65	4	complexity	complexity	NOUN
cana-953	65	5	-	-	PUNCT
cana-953	65	6	aware	aware	ADJ
cana-953	65	7	scheduling	scheduling	NOUN
cana-953	65	8	a	a	DET
cana-953	65	9	complexity	complexity	NOUN
cana-953	65	10	aware	aware	ADJ
cana-953	65	11	scheduler	scheduler	NOUN
cana-953	65	12	with	with	ADP
cana-953	65	13	dynamic	dynamic	ADJ
cana-953	65	14	slot	slot	NOUN
cana-953	65	15	allocation	allocation	NOUN
cana-953	65	16	for	for	ADP
cana-953	65	17	cloud	cloud	NOUN
cana-953	65	18	video	video	NOUN
cana-953	65	19	transcoding	transcode	VERB
cana-953	65	20	improved	improve	VERB
cana-953	65	21	load	load	NOUN
cana-953	65	22	balance	balance	NOUN
cana-953	65	23	operation	operation	NOUN
cana-953	65	24	might	might	AUX
cana-953	65	25	not	not	PART
cana-953	65	26	handle	handle	VERB
cana-953	65	27	highly	highly	ADV
cana-953	65	28	dynamic	dynamic	ADJ
cana-953	65	29	transcoding	transcode	VERB
cana-953	65	30	demands	demand	NOUN
cana-953	65	31	efficiently	efficiently	ADV
cana-953	65	32	[	[	X
cana-953	65	33	25	25	NUM
cana-953	65	34	]	]	X
cana-953	65	35	ant	ant	ADJ
cana-953	65	36	colony	colony	NOUN
cana-953	65	37	optimization	optimization	NOUN
cana-953	65	38	handling	handle	VERB
cana-953	65	39	non	non	ADJ
cana-953	65	40	-	-	ADJ
cana-953	65	41	local	local	ADJ
cana-953	65	42	executions	execution	NOUN
cana-953	65	43	to	to	PART
cana-953	65	44	improve	improve	VERB
cana-953	65	45	mapreduce	mapreduce	NOUN
cana-953	65	46	performance	performance	NOUN
cana-953	65	47	using	use	VERB
cana-953	65	48	ant	ant	ADJ
cana-953	65	49	colony	colony	NOUN
cana-953	65	50	optimization	optimization	NOUN
cana-953	65	51	enhanced	enhance	VERB
cana-953	65	52	mapreduce	mapreduce	NOUN
cana-953	65	53	performance	performance	NOUN
cana-953	65	54	limited	limit	VERB
cana-953	65	55	to	to	ADP
cana-953	65	56	specific	specific	ADJ
cana-953	65	57	execution	execution	NOUN
cana-953	65	58	scenarios	scenario	NOUN
cana-953	65	59	table	table	NOUN
cana-953	65	60	1	1	NUM
cana-953	65	61	.	.	X
cana-953	65	62	review	review	NOUN
cana-953	65	63	of	of	ADP
cana-953	65	64	existing	exist	VERB
cana-953	65	65	methods	method	NOUN
cana-953	65	66	used	use	VERB
cana-953	65	67	for	for	ADP
cana-953	65	68	map	map	NOUN
cana-953	65	69	reduce	reduce	VERB
cana-953	65	70	based	base	VERB
cana-953	65	71	task	task	NOUN
cana-953	65	72	scheduling	scheduling	NOUN
cana-953	65	73	operations	operation	NOUN
cana-953	65	74	table	table	NOUN
cana-953	65	75	1	1	NUM
cana-953	65	76	reveals	reveal	VERB
cana-953	65	77	a	a	DET
cana-953	65	78	diverse	diverse	ADJ
cana-953	65	79	landscape	landscape	NOUN
cana-953	65	80	of	of	ADP
cana-953	65	81	mapreduce	mapreduce	PROPN
cana-953	65	82	task	task	PROPN
cana-953	65	83	scheduling	scheduling	NOUN
cana-953	65	84	techniques	technique	NOUN
cana-953	65	85	,	,	PUNCT
cana-953	65	86	each	each	PRON
cana-953	65	87	offering	offer	VERB
cana-953	65	88	unique	unique	ADJ
cana-953	65	89	insights	insight	NOUN
cana-953	65	90	and	and	CCONJ
cana-953	65	91	contributions	contribution	NOUN
cana-953	65	92	to	to	ADP
cana-953	65	93	the	the	DET
cana-953	65	94	field	field	NOUN
cana-953	65	95	.	.	PUNCT
cana-953	66	1	one	one	NUM
cana-953	66	2	common	common	ADJ
cana-953	66	3	theme	theme	NOUN
cana-953	66	4	among	among	ADP
cana-953	66	5	these	these	DET
cana-953	66	6	studies	study	NOUN
cana-953	66	7	is	be	AUX
cana-953	66	8	the	the	DET
cana-953	66	9	emphasis	emphasis	NOUN
cana-953	66	10	on	on	ADP
cana-953	66	11	optimizing	optimize	VERB
cana-953	66	12	resource	resource	NOUN
cana-953	66	13	allocation	allocation	NOUN
cana-953	66	14	and	and	CCONJ
cana-953	66	15	job	job	NOUN
cana-953	66	16	scheduling	scheduling	NOUN
cana-953	66	17	to	to	PART
cana-953	66	18	improve	improve	VERB
cana-953	66	19	system	system	NOUN
cana-953	66	20	efficiency	efficiency	NOUN
cana-953	66	21	and	and	CCONJ
cana-953	66	22	performance	performance	NOUN
cana-953	66	23	.	.	PUNCT
cana-953	67	1	however	however	ADV
cana-953	67	2	,	,	PUNCT
cana-953	67	3	the	the	DET
cana-953	67	4	methodologies	methodology	NOUN
cana-953	67	5	employed	employ	VERB
cana-953	67	6	vary	vary	VERB
cana-953	67	7	significantly	significantly	ADV
cana-953	67	8	,	,	PUNCT
cana-953	67	9	reflecting	reflect	VERB
cana-953	67	10	the	the	DET
cana-953	67	11	complex	complex	ADJ
cana-953	67	12	nature	nature	NOUN
cana-953	67	13	of	of	ADP
cana-953	67	14	the	the	DET
cana-953	67	15	task	task	NOUN
cana-953	67	16	scheduling	scheduling	NOUN
cana-953	67	17	problem	problem	NOUN
cana-953	67	18	and	and	CCONJ
cana-953	67	19	the	the	DET
cana-953	67	20	diversity	diversity	NOUN
cana-953	67	21	of	of	ADP
cana-953	67	22	application	application	NOUN
cana-953	67	23	scenarios	scenario	NOUN
cana-953	67	24	.	.	PUNCT
cana-953	68	1	several	several	ADJ
cana-953	68	2	papers	paper	NOUN
cana-953	68	3	focus	focus	VERB
cana-953	68	4	on	on	ADP
cana-953	68	5	leveraging	leverage	VERB
cana-953	68	6	optimization	optimization	NOUN
cana-953	68	7	algorithms	algorithm	NOUN
cana-953	68	8	such	such	ADJ
cana-953	68	9	as	as	ADP
cana-953	68	10	ant	ant	ADJ
cana-953	68	11	colony	colony	NOUN
cana-953	68	12	optimization	optimization	NOUN
cana-953	68	13	,	,	PUNCT
cana-953	68	14	hungarian	hungarian	ADJ
cana-953	68	15	algorithm	algorithm	NOUN
cana-953	68	16	,	,	PUNCT
cana-953	68	17	and	and	CCONJ
cana-953	68	18	convex	convex	VERB
cana-953	68	19	optimization	optimization	NOUN
cana-953	68	20	to	to	PART
cana-953	68	21	achieve	achieve	VERB
cana-953	68	22	optimal	optimal	ADJ
cana-953	68	23	task	task	NOUN
cana-953	68	24	scheduling	scheduling	NOUN
cana-953	68	25	and	and	CCONJ
cana-953	68	26	resource	resource	NOUN
cana-953	68	27	utilization	utilization	NOUN
cana-953	68	28	.	.	PUNCT
cana-953	69	1	for	for	ADP
cana-953	69	2	example	example	NOUN
cana-953	69	3	,	,	PUNCT
cana-953	69	4	[	[	X
cana-953	69	5	3	3	X
cana-953	69	6	]	]	PUNCT
cana-953	69	7	proposes	propose	VERB
cana-953	69	8	an	an	DET
cana-953	69	9	ant	ant	ADJ
cana-953	69	10	colony	colony	NOUN
cana-953	69	11	optimization	optimization	NOUN
cana-953	69	12	approach	approach	NOUN
cana-953	69	13	to	to	PART
cana-953	69	14	optimize	optimize	VERB
cana-953	69	15	mapreduce	mapreduce	PROPN
cana-953	69	16	task	task	NOUN
cana-953	69	17	scheduling	scheduling	NOUN
cana-953	69	18	in	in	ADP
cana-953	69	19	virtualized	virtualized	ADJ
cana-953	69	20	heterogeneous	heterogeneous	ADJ
cana-953	69	21	environments	environment	NOUN
cana-953	69	22	,	,	PUNCT
cana-953	69	23	demonstrating	demonstrate	VERB
cana-953	69	24	improved	improved	ADJ
cana-953	69	25	resource	resource	NOUN
cana-953	69	26	utilization	utilization	NOUN
cana-953	69	27	compared	compare	VERB
cana-953	69	28	to	to	ADP
cana-953	69	29	traditional	traditional	ADJ
cana-953	69	30	scheduling	scheduling	NOUN
cana-953	69	31	methods	method	NOUN
cana-953	69	32	.	.	PUNCT
cana-953	70	1	similarly	similarly	ADV
cana-953	70	2	,	,	PUNCT
cana-953	70	3	[	[	X
cana-953	70	4	9	9	NUM
cana-953	70	5	]	]	PUNCT
cana-953	70	6	utilizes	utilize	VERB
cana-953	70	7	convex	convex	NOUN
cana-953	70	8	optimization	optimization	NOUN
cana-953	70	9	techniques	technique	NOUN
cana-953	70	10	for	for	ADP
cana-953	70	11	co	co	ADJ
cana-953	70	12	-	-	NOUN
cana-953	70	13	flow	flow	ADJ
cana-953	70	14	scheduling	scheduling	NOUN
cana-953	70	15	in	in	ADP
cana-953	70	16	data	datum	NOUN
cana-953	70	17	centers	center	NOUN
cana-953	70	18	,	,	PUNCT
cana-953	70	19	effectively	effectively	ADV
cana-953	70	20	balancing	balance	VERB
cana-953	70	21	bandwidth	bandwidth	ADJ
cana-953	70	22	allocation	allocation	NOUN
cana-953	70	23	and	and	CCONJ
cana-953	70	24	minimizing	minimize	VERB
cana-953	70	25	co	co	ADJ
cana-953	70	26	-	-	NOUN
cana-953	70	27	flow	flow	ADJ
cana-953	70	28	completion	completion	NOUN
cana-953	70	29	timestamp	timestamp	NOUN
cana-953	70	30	levels	level	NOUN
cana-953	70	31	.	.	PUNCT
cana-953	71	1	in	in	ADP
cana-953	71	2	addition	addition	NOUN
cana-953	71	3	to	to	ADP
cana-953	71	4	optimization	optimization	NOUN
cana-953	71	5	algorithms	algorithm	NOUN
cana-953	71	6	,	,	PUNCT
cana-953	71	7	heuristic	heuristic	ADJ
cana-953	71	8	approaches	approach	NOUN
cana-953	71	9	play	play	VERB
cana-953	71	10	a	a	DET
cana-953	71	11	crucial	crucial	ADJ
cana-953	71	12	role	role	NOUN
cana-953	71	13	in	in	ADP
cana-953	71	14	addressing	address	VERB
cana-953	71	15	the	the	DET
cana-953	71	16	practical	practical	ADJ
cana-953	71	17	challenges	challenge	NOUN
cana-953	71	18	of	of	ADP
cana-953	71	19	task	task	NOUN
cana-953	71	20	scheduling	scheduling	NOUN
cana-953	71	21	in	in	ADP
cana-953	71	22	mapreduce	mapreduce	PROPN
cana-953	71	23	environments	environment	NOUN
cana-953	71	24	.	.	PUNCT
cana-953	72	1	papers	paper	NOUN
cana-953	72	2	such	such	ADJ
cana-953	72	3	as	as	ADP
cana-953	72	4	[	[	X
cana-953	72	5	8	8	NUM
cana-953	72	6	]	]	PUNCT
cana-953	72	7	and	and	CCONJ
cana-953	72	8	[	[	X
cana-953	72	9	13	13	NUM
cana-953	72	10	]	]	X
cana-953	72	11	propose	propose	VERB
cana-953	72	12	flexible	flexible	ADJ
cana-953	72	13	heuristic	heuristic	ADJ
cana-953	72	14	algorithms	algorithm	NOUN
cana-953	72	15	to	to	PART
cana-953	72	16	schedule	schedule	VERB
cana-953	72	17	distributed	distribute	VERB
cana-953	72	18	analytic	analytic	ADJ
cana-953	72	19	applications	application	NOUN
cana-953	72	20	and	and	CCONJ
cana-953	72	21	workflow	workflow	NOUN
cana-953	72	22	tasks	task	NOUN
cana-953	72	23	in	in	ADP
cana-953	72	24	heterogeneous	heterogeneous	ADJ
cana-953	72	25	clouds	cloud	NOUN
cana-953	72	26	,	,	PUNCT
cana-953	72	27	respectively	respectively	ADV
cana-953	72	28	.	.	PUNCT
cana-953	73	1	these	these	DET
cana-953	73	2	heuristic	heuristic	ADJ
cana-953	73	3	methods	method	NOUN
cana-953	73	4	offer	offer	VERB
cana-953	73	5	practical	practical	ADJ
cana-953	73	6	solutions	solution	NOUN
cana-953	73	7	for	for	ADP
cana-953	73	8	real	real	ADJ
cana-953	73	9	-	-	PUNCT
cana-953	73	10	world	world	NOUN
cana-953	73	11	scenarios	scenario	NOUN
cana-953	73	12	where	where	SCONJ
cana-953	73	13	optimal	optimal	ADJ
cana-953	73	14	solutions	solution	NOUN
cana-953	73	15	may	may	AUX
cana-953	73	16	be	be	AUX
cana-953	73	17	computationally	computationally	ADV
cana-953	73	18	expensive	expensive	ADJ
cana-953	73	19	or	or	CCONJ
cana-953	73	20	impractical	impractical	ADJ
cana-953	73	21	to	to	PART
cana-953	73	22	achieve	achieve	VERB
cana-953	73	23	.	.	PUNCT
cana-953	74	1	furthermore	furthermore	ADV
cana-953	74	2	,	,	PUNCT
cana-953	74	3	machine	machine	NOUN
cana-953	74	4	learning	learning	NOUN
cana-953	74	5	techniques	technique	NOUN
cana-953	74	6	have	have	AUX
cana-953	74	7	emerged	emerge	VERB
cana-953	74	8	as	as	ADP
cana-953	74	9	powerful	powerful	ADJ
cana-953	74	10	tools	tool	NOUN
cana-953	74	11	for	for	ADP
cana-953	74	12	improving	improve	VERB
cana-953	74	13	mapreduce	mapreduce	PROPN
cana-953	74	14	task	task	NOUN
cana-953	74	15	scheduling	scheduling	NOUN
cana-953	74	16	.	.	PUNCT
cana-953	75	1	papers	paper	NOUN
cana-953	75	2	such	such	ADJ
cana-953	75	3	as	as	ADP
cana-953	75	4	[	[	X
cana-953	75	5	11	11	NUM
cana-953	75	6	]	]	PUNCT
cana-953	75	7	advocate	advocate	NOUN
cana-953	75	8	for	for	ADP
cana-953	75	9	the	the	DET
cana-953	75	10	use	use	NOUN
cana-953	75	11	of	of	ADP
cana-953	75	12	sampling	sample	VERB
cana-953	75	13	-	-	PUNCT
cana-953	75	14	based	base	VERB
cana-953	75	15	learning	learning	NOUN
cana-953	75	16	techniques	technique	NOUN
cana-953	75	17	to	to	PART
cana-953	75	18	predict	predict	VERB
cana-953	75	19	coflow	coflow	ADJ
cana-953	75	20	sizes	size	NOUN
cana-953	75	21	and	and	CCONJ
cana-953	75	22	optimize	optimize	VERB
cana-953	75	23	flow	flow	NOUN
cana-953	75	24	scheduling	scheduling	NOUN
cana-953	75	25	,	,	PUNCT
cana-953	75	26	demonstrating	demonstrate	VERB
cana-953	75	27	enhanced	enhance	VERB
cana-953	75	28	scalability	scalability	NOUN
cana-953	75	29	and	and	CCONJ
cana-953	75	30	performance	performance	NOUN
cana-953	75	31	compared	compare	VERB
cana-953	75	32	to	to	ADP
cana-953	75	33	traditional	traditional	ADJ
cana-953	75	34	methods	method	NOUN
cana-953	75	35	.	.	PUNCT
cana-953	76	1	similarly	similarly	ADV
cana-953	76	2	,	,	PUNCT
cana-953	76	3	[	[	X
cana-953	76	4	15	15	NUM
cana-953	76	5	]	]	X
cana-953	76	6	introduces	introduce	NOUN
cana-953	76	7	aeml	aeml	NOUN
cana-953	76	8	,	,	PUNCT
cana-953	76	9	an	an	DET
cana-953	76	10	acceleration	acceleration	NOUN
cana-953	76	11	engine	engine	NOUN
cana-953	76	12	for	for	ADP
cana-953	76	13	multi	multi	ADJ
cana-953	76	14	-	-	ADJ
cana-953	76	15	gpu	gpu	ADJ
cana-953	76	16	load	load	NOUN
cana-953	76	17	balancing	balancing	NOUN
cana-953	76	18	,	,	PUNCT
cana-953	76	19	which	which	PRON
cana-953	76	20	leverages	leverage	VERB
cana-953	76	21	machine	machine	NOUN
cana-953	76	22	learning	learn	VERB
cana-953	76	23	algorithms	algorithm	NOUN
cana-953	76	24	to	to	PART
cana-953	76	25	dynamically	dynamically	ADV
cana-953	76	26	balance	balance	VERB
cana-953	76	27	workloads	workload	NOUN
cana-953	76	28	across	across	ADP
cana-953	76	29	heterogeneous	heterogeneous	ADJ
cana-953	76	30	environments	environment	NOUN
cana-953	76	31	,	,	PUNCT
cana-953	76	32	leading	lead	VERB
cana-953	76	33	to	to	ADP
cana-953	76	34	improved	improved	ADJ
cana-953	76	35	system	system	NOUN
cana-953	76	36	efficiency	efficiency	NOUN
cana-953	76	37	.	.	PUNCT
cana-953	77	1	despite	despite	SCONJ
cana-953	77	2	the	the	DET
cana-953	77	3	significant	significant	ADJ
cana-953	77	4	advancements	advancement	NOUN
cana-953	77	5	highlighted	highlight	VERB
cana-953	77	6	in	in	ADP
cana-953	77	7	these	these	DET
cana-953	77	8	studies	study	NOUN
cana-953	77	9	,	,	PUNCT
cana-953	77	10	several	several	ADJ
cana-953	77	11	challenges	challenge	NOUN
cana-953	77	12	and	and	CCONJ
cana-953	77	13	limitations	limitation	NOUN
cana-953	77	14	remain	remain	VERB
cana-953	77	15	.	.	PUNCT
cana-953	78	1	one	one	NUM
cana-953	78	2	recurring	recur	VERB
cana-953	78	3	limitation	limitation	NOUN
cana-953	78	4	is	be	AUX
cana-953	78	5	the	the	DET
cana-953	78	6	scalability	scalability	NOUN
cana-953	78	7	of	of	ADP
cana-953	78	8	proposed	propose	VERB
cana-953	78	9	solutions	solution	NOUN
cana-953	78	10	,	,	PUNCT
cana-953	78	11	particularly	particularly	ADV
cana-953	78	12	in	in	ADP
cana-953	78	13	large	large	ADJ
cana-953	78	14	-	-	PUNCT
cana-953	78	15	scale	scale	NOUN
cana-953	78	16	distributed	distribute	VERB
cana-953	78	17	environments	environment	NOUN
cana-953	78	18	with	with	ADP
cana-953	78	19	dynamic	dynamic	ADJ
cana-953	78	20	workloads	workload	NOUN
cana-953	78	21	.	.	PUNCT
cana-953	79	1	while	while	SCONJ
cana-953	79	2	many	many	ADJ
cana-953	79	3	papers	paper	NOUN
cana-953	79	4	demonstrate	demonstrate	VERB
cana-953	79	5	promising	promising	ADJ
cana-953	79	6	results	result	NOUN
cana-953	79	7	in	in	ADP
cana-953	79	8	controlled	control	VERB
cana-953	79	9	experimental	experimental	ADJ
cana-953	79	10	settings	setting	NOUN
cana-953	79	11	,	,	PUNCT
cana-953	79	12	scaling	scale	VERB
cana-953	79	13	these	these	DET
cana-953	79	14	solutions	solution	NOUN
cana-953	79	15	to	to	ADP
cana-953	79	16	production	production	NOUN
cana-953	79	17	-	-	PUNCT
cana-953	79	18	level	level	NOUN
cana-953	79	19	systems	system	NOUN
cana-953	79	20	with	with	ADP
cana-953	79	21	thousands	thousand	NOUN
cana-953	79	22	of	of	ADP
cana-953	79	23	nodes	node	NOUN
cana-953	79	24	and	and	CCONJ
cana-953	79	25	complex	complex	ADJ
cana-953	79	26	application	application	NOUN
cana-953	79	27	requirements	requirement	NOUN
cana-953	79	28	remains	remain	VERB
cana-953	79	29	a	a	DET
cana-953	79	30	significant	significant	ADJ
cana-953	79	31	challenge	challenge	NOUN
cana-953	79	32	.	.	PUNCT
cana-953	80	1	another	another	DET
cana-953	80	2	common	common	ADJ
cana-953	80	3	limitation	limitation	NOUN
cana-953	80	4	is	be	AUX
cana-953	80	5	the	the	DET
cana-953	80	6	assumption	assumption	NOUN
cana-953	80	7	of	of	ADP
cana-953	80	8	idealized	idealized	ADJ
cana-953	80	9	conditions	condition	NOUN
cana-953	80	10	or	or	CCONJ
cana-953	80	11	fixed	fix	VERB
cana-953	80	12	system	system	NOUN
cana-953	80	13	parameters	parameter	NOUN
cana-953	80	14	,	,	PUNCT
cana-953	80	15	which	which	PRON
cana-953	80	16	may	may	AUX
cana-953	80	17	not	not	PART
cana-953	80	18	hold	hold	VERB
cana-953	80	19	true	true	ADJ
cana-953	80	20	in	in	ADP
cana-953	80	21	real	real	ADJ
cana-953	80	22	-	-	PUNCT
cana-953	80	23	world	world	NOUN
cana-953	80	24	deployments	deployment	NOUN
cana-953	80	25	.	.	PUNCT
cana-953	81	1	for	for	ADP
cana-953	81	2	example	example	NOUN
cana-953	81	3	,	,	PUNCT
cana-953	81	4	[	[	X
cana-953	81	5	2	2	NUM
cana-953	81	6	]	]	PUNCT
cana-953	81	7	assumes	assume	VERB
cana-953	81	8	fixed	fix	VERB
cana-953	81	9	data	datum	NOUN
cana-953	81	10	center	center	NOUN
cana-953	81	11	locations	location	NOUN
cana-953	81	12	in	in	ADP
cana-953	81	13	its	its	PRON
cana-953	81	14	scheduling	scheduling	NOUN
cana-953	81	15	algorithm	algorithm	NOUN
cana-953	81	16	,	,	PUNCT
cana-953	81	17	overlooking	overlook	VERB
cana-953	81	18	the	the	DET
cana-953	81	19	dynamic	dynamic	ADJ
cana-953	81	20	nature	nature	NOUN
cana-953	81	21	of	of	ADP
cana-953	81	22	geo	geo	PROPN
cana-953	81	23	-	-	PUNCT
cana-953	81	24	distributed	distribute	VERB
cana-953	81	25	environments	environment	NOUN
cana-953	81	26	.	.	PUNCT
cana-953	82	1	communications	communication	NOUN
cana-953	82	2	on	on	ADP
cana-953	82	3	applied	apply	VERB
cana-953	82	4	nonlinear	nonlinear	ADJ
cana-953	82	5	analysis	analysis	NOUN
cana-953	82	6	issn	issn	NOUN
cana-953	82	7	:	:	PUNCT
cana-953	82	8	1074	1074	NUM
cana-953	82	9	-	-	PUNCT
cana-953	82	10	133x	133x	NUM
cana-953	82	11	vol	vol	NOUN
cana-953	82	12	31	31	NUM
cana-953	82	13	no	no	NOUN
cana-953	82	14	.	.	PUNCT
cana-953	83	1	4s	4s	NUM
cana-953	83	2	(	(	PUNCT
cana-953	83	3	2024	2024	NUM
cana-953	83	4	)	)	PUNCT
cana-953	83	5	605	605	NUM
cana-953	83	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	83	7	similarly	similarly	ADV
cana-953	83	8	,	,	PUNCT
cana-953	83	9	[	[	X
cana-953	83	10	18	18	NUM
cana-953	83	11	]	]	PUNCT
cana-953	83	12	proposes	propose	VERB
cana-953	83	13	a	a	DET
cana-953	83	14	shuffling	shuffle	VERB
cana-953	83	15	optimization	optimization	NOUN
cana-953	83	16	technique	technique	NOUN
cana-953	83	17	based	base	VERB
cana-953	83	18	on	on	ADP
cana-953	83	19	the	the	DET
cana-953	83	20	assumption	assumption	NOUN
cana-953	83	21	of	of	ADP
cana-953	83	22	homogeneous	homogeneous	ADJ
cana-953	83	23	task	task	NOUN
cana-953	83	24	distributions	distribution	NOUN
cana-953	83	25	,	,	PUNCT
cana-953	83	26	which	which	PRON
cana-953	83	27	may	may	AUX
cana-953	83	28	not	not	PART
cana-953	83	29	accurately	accurately	ADV
cana-953	83	30	reflect	reflect	VERB
cana-953	83	31	the	the	DET
cana-953	83	32	variability	variability	NOUN
cana-953	83	33	of	of	ADP
cana-953	83	34	real	real	ADJ
cana-953	83	35	-	-	PUNCT
cana-953	83	36	world	world	NOUN
cana-953	83	37	workloads	workload	NOUN
cana-953	83	38	.	.	PUNCT
cana-953	84	1	moreover	moreover	ADV
cana-953	84	2	,	,	PUNCT
cana-953	84	3	the	the	DET
cana-953	84	4	trade	trade	NOUN
cana-953	84	5	-	-	PUNCT
cana-953	84	6	off	off	NOUN
cana-953	84	7	between	between	ADP
cana-953	84	8	optimization	optimization	NOUN
cana-953	84	9	objectives	objective	NOUN
cana-953	84	10	,	,	PUNCT
cana-953	84	11	such	such	ADJ
cana-953	84	12	as	as	ADP
cana-953	84	13	resource	resource	NOUN
cana-953	84	14	utilization	utilization	NOUN
cana-953	84	15	,	,	PUNCT
cana-953	84	16	job	job	NOUN
cana-953	84	17	completion	completion	NOUN
cana-953	84	18	time	time	NOUN
cana-953	84	19	,	,	PUNCT
cana-953	84	20	and	and	CCONJ
cana-953	84	21	energy	energy	NOUN
cana-953	84	22	efficiency	efficiency	NOUN
cana-953	84	23	,	,	PUNCT
cana-953	84	24	remains	remain	VERB
cana-953	84	25	a	a	DET
cana-953	84	26	key	key	ADJ
cana-953	84	27	challenge	challenge	NOUN
cana-953	84	28	in	in	ADP
cana-953	84	29	mapreduce	mapreduce	PROPN
cana-953	84	30	task	task	PROPN
cana-953	84	31	scheduling	scheduling	NOUN
cana-953	84	32	.	.	PUNCT
cana-953	85	1	while	while	SCONJ
cana-953	85	2	many	many	ADJ
cana-953	85	3	papers	paper	NOUN
cana-953	85	4	focus	focus	VERB
cana-953	85	5	on	on	ADP
cana-953	85	6	optimizing	optimize	VERB
cana-953	85	7	individual	individual	ADJ
cana-953	85	8	metrics	metric	NOUN
cana-953	85	9	,	,	PUNCT
cana-953	85	10	achieving	achieve	VERB
cana-953	85	11	a	a	DET
cana-953	85	12	balance	balance	NOUN
cana-953	85	13	between	between	ADP
cana-953	85	14	competing	compete	VERB
cana-953	85	15	objectives	objective	NOUN
cana-953	85	16	without	without	ADP
cana-953	85	17	sacrificing	sacrifice	VERB
cana-953	85	18	overall	overall	ADJ
cana-953	85	19	system	system	NOUN
cana-953	85	20	performance	performance	NOUN
cana-953	85	21	is	be	AUX
cana-953	85	22	non	non	ADJ
cana-953	85	23	-	-	ADJ
cana-953	85	24	trivial	trivial	ADJ
cana-953	85	25	.	.	PUNCT
cana-953	86	1	future	future	ADJ
cana-953	86	2	research	research	NOUN
cana-953	86	3	efforts	effort	NOUN
cana-953	86	4	should	should	AUX
cana-953	86	5	explore	explore	VERB
cana-953	86	6	multi	multi	ADJ
cana-953	86	7	-	-	ADJ
cana-953	86	8	objective	objective	ADJ
cana-953	86	9	optimization	optimization	NOUN
cana-953	86	10	techniques	technique	NOUN
cana-953	86	11	to	to	PART
cana-953	86	12	address	address	VERB
cana-953	86	13	these	these	DET
cana-953	86	14	trade	trade	NOUN
cana-953	86	15	-	-	PUNCT
cana-953	86	16	offs	off	NOUN
cana-953	86	17	effectively	effectively	ADV
cana-953	86	18	.	.	PUNCT
cana-953	87	1	in	in	ADP
cana-953	87	2	conclusion	conclusion	NOUN
cana-953	87	3	,	,	PUNCT
cana-953	87	4	this	this	DET
cana-953	87	5	review	review	NOUN
cana-953	87	6	provides	provide	VERB
cana-953	87	7	valuable	valuable	ADJ
cana-953	87	8	insights	insight	NOUN
cana-953	87	9	into	into	ADP
cana-953	87	10	the	the	DET
cana-953	87	11	state	state	NOUN
cana-953	87	12	-	-	PUNCT
cana-953	87	13	of	of	ADP
cana-953	87	14	-	-	PUNCT
cana-953	87	15	the	the	DET
cana-953	87	16	-	-	PUNCT
cana-953	87	17	art	art	NOUN
cana-953	87	18	in	in	ADP
cana-953	87	19	mapreduce	mapreduce	PROPN
cana-953	87	20	task	task	PROPN
cana-953	87	21	scheduling	scheduling	NOUN
cana-953	87	22	,	,	PUNCT
cana-953	87	23	highlighting	highlight	VERB
cana-953	87	24	the	the	DET
cana-953	87	25	diverse	diverse	ADJ
cana-953	87	26	methodologies	methodology	NOUN
cana-953	87	27	and	and	CCONJ
cana-953	87	28	approaches	approach	NOUN
cana-953	87	29	employed	employ	VERB
cana-953	87	30	to	to	PART
cana-953	87	31	tackle	tackle	VERB
cana-953	87	32	this	this	DET
cana-953	87	33	complex	complex	ADJ
cana-953	87	34	problem	problem	NOUN
cana-953	87	35	.	.	PUNCT
cana-953	88	1	while	while	SCONJ
cana-953	88	2	significant	significant	ADJ
cana-953	88	3	advancements	advancement	NOUN
cana-953	88	4	have	have	AUX
cana-953	88	5	been	be	AUX
cana-953	88	6	made	make	VERB
cana-953	88	7	,	,	PUNCT
cana-953	88	8	several	several	ADJ
cana-953	88	9	challenges	challenge	NOUN
cana-953	88	10	and	and	CCONJ
cana-953	88	11	opportunities	opportunity	NOUN
cana-953	88	12	for	for	ADP
cana-953	88	13	future	future	ADJ
cana-953	88	14	research	research	NOUN
cana-953	88	15	remain	remain	VERB
cana-953	88	16	.	.	PUNCT
cana-953	89	1	by	by	ADP
cana-953	89	2	addressing	address	VERB
cana-953	89	3	these	these	DET
cana-953	89	4	challenges	challenge	NOUN
cana-953	89	5	and	and	CCONJ
cana-953	89	6	leveraging	leverage	VERB
cana-953	89	7	emerging	emerge	VERB
cana-953	89	8	technologies	technology	NOUN
cana-953	89	9	such	such	ADJ
cana-953	89	10	as	as	ADP
cana-953	89	11	machine	machine	NOUN
cana-953	89	12	learning	learning	NOUN
cana-953	89	13	and	and	CCONJ
cana-953	89	14	optimization	optimization	NOUN
cana-953	89	15	algorithms	algorithm	NOUN
cana-953	89	16	,	,	PUNCT
cana-953	89	17	researchers	researcher	NOUN
cana-953	89	18	can	can	AUX
cana-953	89	19	continue	continue	VERB
cana-953	89	20	to	to	PART
cana-953	89	21	drive	drive	VERB
cana-953	89	22	innovation	innovation	NOUN
cana-953	89	23	in	in	ADP
cana-953	89	24	mapreduce	mapreduce	PROPN
cana-953	89	25	task	task	NOUN
cana-953	89	26	scheduling	scheduling	NOUN
cana-953	89	27	and	and	CCONJ
cana-953	89	28	pave	pave	VERB
cana-953	89	29	the	the	DET
cana-953	89	30	way	way	NOUN
cana-953	89	31	for	for	ADP
cana-953	89	32	more	more	ADV
cana-953	89	33	efficient	efficient	ADJ
cana-953	89	34	and	and	CCONJ
cana-953	89	35	scalable	scalable	ADJ
cana-953	89	36	big	big	ADJ
cana-953	89	37	data	datum	NOUN
cana-953	89	38	processing	processing	NOUN
cana-953	89	39	solutions	solution	NOUN
cana-953	89	40	.	.	PUNCT
cana-953	90	1	3	3	X
cana-953	90	2	.	.	NUM
cana-953	90	3	proposed	propose	VERB
cana-953	90	4	design	design	NOUN
cana-953	90	5	of	of	ADP
cana-953	90	6	an	an	DET
cana-953	90	7	iterative	iterative	NOUN
cana-953	90	8	method	method	NOUN
cana-953	90	9	for	for	ADP
cana-953	90	10	mapreduce	mapreduce	NOUN
cana-953	90	11	scheduling	scheduling	NOUN
cana-953	90	12	using	use	VERB
cana-953	90	13	deep	deep	ADJ
cana-953	90	14	reinforcement	reinforcement	NOUN
cana-953	90	15	learning	learning	NOUN
cana-953	90	16	and	and	CCONJ
cana-953	90	17	anomaly	anomaly	NOUN
cana-953	90	18	detection	detection	NOUN
cana-953	90	19	to	to	PART
cana-953	90	20	overcome	overcome	VERB
cana-953	90	21	issues	issue	NOUN
cana-953	90	22	of	of	ADP
cana-953	90	23	high	high	ADJ
cana-953	90	24	complexity	complexity	NOUN
cana-953	90	25	of	of	ADP
cana-953	90	26	deployment	deployment	NOUN
cana-953	90	27	,	,	PUNCT
cana-953	90	28	and	and	CCONJ
cana-953	90	29	low	low	ADJ
cana-953	90	30	efficiency	efficiency	NOUN
cana-953	90	31	of	of	ADP
cana-953	90	32	scheduling	scheduling	NOUN
cana-953	90	33	which	which	PRON
cana-953	90	34	are	be	AUX
cana-953	90	35	present	present	ADJ
cana-953	90	36	in	in	ADP
cana-953	90	37	existing	exist	VERB
cana-953	90	38	map	map	NOUN
cana-953	90	39	reduce	reduce	VERB
cana-953	90	40	based	base	VERB
cana-953	90	41	scheduling	scheduling	NOUN
cana-953	90	42	methods	method	NOUN
cana-953	90	43	,	,	PUNCT
cana-953	90	44	this	this	DET
cana-953	90	45	section	section	NOUN
cana-953	90	46	discusses	discuss	VERB
cana-953	90	47	design	design	NOUN
cana-953	90	48	of	of	ADP
cana-953	90	49	an	an	DET
cana-953	90	50	iterative	iterative	NOUN
cana-953	90	51	method	method	NOUN
cana-953	90	52	for	for	ADP
cana-953	90	53	mapreduce	mapreduce	NOUN
cana-953	90	54	scheduling	scheduling	NOUN
cana-953	90	55	using	use	VERB
cana-953	90	56	deep	deep	ADJ
cana-953	90	57	reinforcement	reinforcement	NOUN
cana-953	90	58	learning	learning	NOUN
cana-953	90	59	and	and	CCONJ
cana-953	90	60	anomaly	anomaly	NOUN
cana-953	90	61	detection	detection	NOUN
cana-953	90	62	process	process	NOUN
cana-953	90	63	.	.	PUNCT
cana-953	91	1	initially	initially	ADV
cana-953	91	2	,	,	PUNCT
cana-953	91	3	as	as	ADP
cana-953	91	4	per	per	ADP
cana-953	91	5	figure	figure	NOUN
cana-953	91	6	1	1	NUM
cana-953	91	7	,	,	PUNCT
cana-953	91	8	the	the	DET
cana-953	91	9	design	design	NOUN
cana-953	91	10	of	of	ADP
cana-953	91	11	the	the	DET
cana-953	91	12	deep	deep	ADJ
cana-953	91	13	reinforcement	reinforcement	NOUN
cana-953	91	14	learning	learning	NOUN
cana-953	91	15	for	for	ADP
cana-953	91	16	dynamic	dynamic	ADJ
cana-953	91	17	job	job	NOUN
cana-953	91	18	scheduling	scheduling	NOUN
cana-953	91	19	(	(	PUNCT
cana-953	91	20	drdjs	drdjs	ADJ
cana-953	91	21	)	)	PUNCT
cana-953	91	22	model	model	NOUN
cana-953	91	23	represents	represent	VERB
cana-953	91	24	a	a	DET
cana-953	91	25	sophisticated	sophisticated	ADJ
cana-953	91	26	approach	approach	NOUN
cana-953	91	27	to	to	ADP
cana-953	91	28	optimizing	optimize	VERB
cana-953	91	29	scheduling	scheduling	NOUN
cana-953	91	30	policies	policy	NOUN
cana-953	91	31	in	in	ADP
cana-953	91	32	real	real	ADJ
cana-953	91	33	-	-	PUNCT
cana-953	91	34	time	time	NOUN
cana-953	91	35	for	for	ADP
cana-953	91	36	distributed	distribute	VERB
cana-953	91	37	computing	computing	NOUN
cana-953	91	38	environments	environment	NOUN
cana-953	91	39	,	,	PUNCT
cana-953	91	40	specifically	specifically	ADV
cana-953	91	41	within	within	ADP
cana-953	91	42	the	the	DET
cana-953	91	43	mapreduce	mapreduce	NOUN
cana-953	91	44	framework	framework	NOUN
cana-953	91	45	.	.	PUNCT
cana-953	92	1	this	this	DET
cana-953	92	2	model	model	NOUN
cana-953	92	3	is	be	AUX
cana-953	92	4	fundamentally	fundamentally	ADV
cana-953	92	5	grounded	ground	VERB
cana-953	92	6	in	in	ADP
cana-953	92	7	the	the	DET
cana-953	92	8	principles	principle	NOUN
cana-953	92	9	of	of	ADP
cana-953	92	10	reinforcement	reinforcement	NOUN
cana-953	92	11	learning	learning	NOUN
cana-953	92	12	(	(	PUNCT
cana-953	92	13	rl	rl	NOUN
cana-953	92	14	)	)	PUNCT
cana-953	92	15	,	,	PUNCT
cana-953	92	16	where	where	SCONJ
cana-953	92	17	an	an	DET
cana-953	92	18	agent	agent	NOUN
cana-953	92	19	learns	learn	VERB
cana-953	92	20	to	to	PART
cana-953	92	21	make	make	VERB
cana-953	92	22	decisions	decision	NOUN
cana-953	92	23	by	by	ADP
cana-953	92	24	interacting	interact	VERB
cana-953	92	25	with	with	ADP
cana-953	92	26	a	a	DET
cana-953	92	27	dynamic	dynamic	ADJ
cana-953	92	28	environment	environment	NOUN
cana-953	92	29	.	.	PUNCT
cana-953	93	1	the	the	DET
cana-953	93	2	aim	aim	NOUN
cana-953	93	3	is	be	AUX
cana-953	93	4	to	to	PART
cana-953	93	5	maximize	maximize	VERB
cana-953	93	6	a	a	DET
cana-953	93	7	cumulative	cumulative	ADJ
cana-953	93	8	reward	reward	NOUN
cana-953	93	9	,	,	PUNCT
cana-953	93	10	which	which	PRON
cana-953	93	11	,	,	PUNCT
cana-953	93	12	in	in	ADP
cana-953	93	13	the	the	DET
cana-953	93	14	context	context	NOUN
cana-953	93	15	of	of	ADP
cana-953	93	16	job	job	NOUN
cana-953	93	17	scheduling	scheduling	NOUN
cana-953	93	18	,	,	PUNCT
cana-953	93	19	translates	translate	VERB
cana-953	93	20	to	to	ADP
cana-953	93	21	minimizing	minimize	VERB
cana-953	93	22	the	the	DET
cana-953	93	23	overall	overall	ADJ
cana-953	93	24	job	job	NOUN
cana-953	93	25	completion	completion	NOUN
cana-953	93	26	timestamp	timestamp	NOUN
cana-953	93	27	while	while	SCONJ
cana-953	93	28	maximizing	maximize	VERB
cana-953	93	29	resource	resource	NOUN
cana-953	93	30	utilization	utilization	NOUN
cana-953	93	31	efficiency	efficiency	NOUN
cana-953	93	32	.	.	PUNCT
cana-953	94	1	drdjs	drdjs	PROPN
cana-953	94	2	utilizes	utilize	VERB
cana-953	94	3	a	a	DET
cana-953	94	4	state	state	NOUN
cana-953	94	5	-	-	PUNCT
cana-953	94	6	actionreward	actionreward	NOUN
cana-953	94	7	-	-	PUNCT
cana-953	94	8	state	state	NOUN
cana-953	94	9	-	-	PUNCT
cana-953	94	10	action	action	NOUN
cana-953	94	11	(	(	PUNCT
cana-953	94	12	sarsa	sarsa	NOUN
cana-953	94	13	)	)	PUNCT
cana-953	94	14	learning	learn	VERB
cana-953	94	15	algorithm	algorithm	NOUN
cana-953	94	16	,	,	PUNCT
cana-953	94	17	which	which	PRON
cana-953	94	18	is	be	AUX
cana-953	94	19	an	an	DET
cana-953	94	20	on	on	ADP
cana-953	94	21	-	-	PUNCT
cana-953	94	22	policy	policy	NOUN
cana-953	94	23	rl	rl	NOUN
cana-953	94	24	method	method	NOUN
cana-953	94	25	.	.	PUNCT
cana-953	95	1	the	the	DET
cana-953	95	2	choice	choice	NOUN
cana-953	95	3	of	of	ADP
cana-953	95	4	sarsa	sarsa	NOUN
cana-953	95	5	is	be	AUX
cana-953	95	6	justified	justify	VERB
cana-953	95	7	by	by	ADP
cana-953	95	8	its	its	PRON
cana-953	95	9	ability	ability	NOUN
cana-953	95	10	to	to	PART
cana-953	95	11	learn	learn	VERB
cana-953	95	12	policies	policy	NOUN
cana-953	95	13	that	that	PRON
cana-953	95	14	are	be	AUX
cana-953	95	15	more	more	ADV
cana-953	95	16	conservative	conservative	ADJ
cana-953	95	17	compared	compare	VERB
cana-953	95	18	to	to	ADP
cana-953	95	19	off	off	ADP
cana-953	95	20	-	-	PUNCT
cana-953	95	21	policy	policy	NOUN
cana-953	95	22	methods	method	NOUN
cana-953	95	23	like	like	ADP
cana-953	95	24	q	q	NOUN
cana-953	95	25	-	-	PUNCT
cana-953	95	26	learning	learning	NOUN
cana-953	95	27	,	,	PUNCT
cana-953	95	28	since	since	SCONJ
cana-953	95	29	it	it	PRON
cana-953	95	30	updates	update	VERB
cana-953	95	31	its	its	PRON
cana-953	95	32	policy	policy	NOUN
cana-953	95	33	as	as	SCONJ
cana-953	95	34	it	it	PRON
cana-953	95	35	learns	learn	VERB
cana-953	95	36	from	from	ADP
cana-953	95	37	the	the	DET
cana-953	95	38	actions	action	NOUN
cana-953	95	39	actually	actually	ADV
cana-953	95	40	taken	take	VERB
cana-953	95	41	,	,	PUNCT
cana-953	95	42	rather	rather	ADV
cana-953	95	43	than	than	ADP
cana-953	95	44	from	from	ADP
cana-953	95	45	a	a	DET
cana-953	95	46	greedy	greedy	ADJ
cana-953	95	47	policy	policy	NOUN
cana-953	95	48	,	,	PUNCT
cana-953	95	49	making	make	VERB
cana-953	95	50	it	it	PRON
cana-953	95	51	more	more	ADV
cana-953	95	52	stable	stable	ADJ
cana-953	95	53	in	in	ADP
cana-953	95	54	the	the	DET
cana-953	95	55	highly	highly	ADV
cana-953	95	56	dynamic	dynamic	ADJ
cana-953	95	57	environments	environment	NOUN
cana-953	95	58	typical	typical	ADJ
cana-953	95	59	of	of	ADP
cana-953	95	60	job	job	NOUN
cana-953	95	61	scheduling	scheduling	NOUN
cana-953	95	62	in	in	ADP
cana-953	95	63	distributed	distribute	VERB
cana-953	95	64	systems	system	NOUN
cana-953	95	65	.	.	PUNCT
cana-953	96	1	the	the	DET
cana-953	96	2	model	model	NOUN
cana-953	96	3	integrates	integrate	VERB
cana-953	96	4	complex	complex	ADJ
cana-953	96	5	mathematical	mathematical	ADJ
cana-953	96	6	operations	operation	NOUN
cana-953	96	7	to	to	PART
cana-953	96	8	capture	capture	VERB
cana-953	96	9	the	the	DET
cana-953	96	10	dynamics	dynamic	NOUN
cana-953	96	11	of	of	ADP
cana-953	96	12	job	job	NOUN
cana-953	96	13	scheduling	scheduling	NOUN
cana-953	96	14	processes	process	NOUN
cana-953	96	15	.	.	PUNCT
cana-953	97	1	each	each	DET
cana-953	97	2	state	state	NOUN
cana-953	97	3	𝑠𝑡	𝑠𝑡	PROPN
cana-953	97	4	in	in	ADP
cana-953	97	5	the	the	DET
cana-953	97	6	system	system	NOUN
cana-953	97	7	is	be	AUX
cana-953	97	8	represented	represent	VERB
cana-953	97	9	by	by	ADP
cana-953	97	10	a	a	DET
cana-953	97	11	vector	vector	NOUN
cana-953	97	12	of	of	ADP
cana-953	97	13	system	system	NOUN
cana-953	97	14	metrics	metric	NOUN
cana-953	97	15	,	,	PUNCT
cana-953	97	16	such	such	ADJ
cana-953	97	17	as	as	ADP
cana-953	97	18	cpu	cpu	NOUN
cana-953	97	19	load	load	NOUN
cana-953	97	20	,	,	PUNCT
cana-953	97	21	memory	memory	NOUN
cana-953	97	22	usage	usage	NOUN
cana-953	97	23	,	,	PUNCT
cana-953	97	24	network	network	NOUN
cana-953	97	25	bandwidth	bandwidth	NOUN
cana-953	97	26	,	,	PUNCT
cana-953	97	27	and	and	CCONJ
cana-953	97	28	queue	queue	NOUN
cana-953	97	29	characteristics	characteristic	NOUN
cana-953	97	30	at	at	ADP
cana-953	97	31	timestamp	timestamp	NOUN
cana-953	97	32	𝑡	𝑡	PROPN
cana-953	97	33	sets	set	NOUN
cana-953	97	34	.	.	PUNCT
cana-953	98	1	this	this	PRON
cana-953	98	2	is	be	AUX
cana-953	98	3	mathematically	mathematically	ADV
cana-953	98	4	represented	represent	VERB
cana-953	98	5	via	via	ADP
cana-953	98	6	equation	equation	NOUN
cana-953	98	7	1	1	NUM
cana-953	98	8	,	,	PUNCT
cana-953	98	9	𝑠𝑡	𝑠𝑡	PROPN
cana-953	98	10	=	=	SYM
cana-953	98	11	(	(	PUNCT
cana-953	98	12	𝑙𝑐𝑝𝑢(𝑡	𝑙𝑐𝑝𝑢(𝑡	PROPN
cana-953	98	13	)	)	PUNCT
cana-953	98	14	,	,	PUNCT
cana-953	98	15	𝑙𝑚𝑒𝑚(𝑡	𝑙𝑚𝑒𝑚(𝑡	NOUN
cana-953	98	16	)	)	PUNCT
cana-953	98	17	,	,	PUNCT
cana-953	98	18	𝑏𝑛𝑒𝑡(𝑡	𝑏𝑛𝑒𝑡(𝑡	PROPN
cana-953	98	19	)	)	PUNCT
cana-953	98	20	,	,	PUNCT
cana-953	98	21	𝑞𝑐ℎ𝑎𝑟(𝑡	𝑞𝑐ℎ𝑎𝑟(𝑡	NOUN
cana-953	98	22	)	)	PUNCT
cana-953	98	23	)	)	PUNCT
cana-953	98	24	…	…	PUNCT
cana-953	99	1	(	(	PUNCT
cana-953	99	2	1	1	X
cana-953	99	3	)	)	PUNCT
cana-953	99	4	where	where	SCONJ
cana-953	99	5	,	,	PUNCT
cana-953	99	6	𝑙𝑐𝑝𝑢(𝑡	𝑙𝑐𝑝𝑢(𝑡	PROPN
cana-953	99	7	)	)	PUNCT
cana-953	99	8	,	,	PUNCT
cana-953	99	9	𝑙𝑚𝑒𝑚(𝑡	𝑙𝑚𝑒𝑚(𝑡	NOUN
cana-953	99	10	)	)	PUNCT
cana-953	99	11	,	,	PUNCT
cana-953	99	12	and	and	CCONJ
cana-953	99	13	𝑏𝑛𝑒𝑡(𝑡	𝑏𝑛𝑒𝑡(𝑡	PROPN
cana-953	99	14	)	)	PUNCT
cana-953	99	15	represent	represent	VERB
cana-953	99	16	the	the	DET
cana-953	99	17	load	load	NOUN
cana-953	99	18	on	on	ADP
cana-953	99	19	cpu	cpu	NOUN
cana-953	99	20	,	,	PUNCT
cana-953	99	21	memory	memory	NOUN
cana-953	99	22	usage	usage	NOUN
cana-953	99	23	,	,	PUNCT
cana-953	99	24	and	and	CCONJ
cana-953	99	25	network	network	NOUN
cana-953	99	26	bandwidth	bandwidth	NOUN
cana-953	99	27	,	,	PUNCT
cana-953	99	28	respectively	respectively	ADV
cana-953	99	29	,	,	PUNCT
cana-953	99	30	and	and	CCONJ
cana-953	99	31	𝑞𝑐ℎ𝑎𝑟(𝑡	𝑞𝑐ℎ𝑎𝑟(𝑡	NOUN
cana-953	99	32	)	)	PUNCT
cana-953	99	33	represents	represent	VERB
cana-953	99	34	the	the	DET
cana-953	99	35	queue	queue	NOUN
cana-953	99	36	characteristics	characteristic	NOUN
cana-953	99	37	.	.	PUNCT
cana-953	100	1	the	the	DET
cana-953	100	2	action	action	NOUN
cana-953	100	3	𝑎𝑡	𝑎𝑡	ADP
cana-953	100	4	at	at	ADP
cana-953	100	5	timestamp	timestamp	NOUN
cana-953	100	6	communications	communication	NOUN
cana-953	100	7	on	on	ADP
cana-953	100	8	applied	apply	VERB
cana-953	100	9	nonlinear	nonlinear	ADJ
cana-953	100	10	analysis	analysis	NOUN
cana-953	100	11	issn	issn	NOUN
cana-953	100	12	:	:	PUNCT
cana-953	100	13	1074	1074	NUM
cana-953	100	14	-	-	PUNCT
cana-953	100	15	133x	133x	NUM
cana-953	100	16	vol	vol	NOUN
cana-953	100	17	31	31	NUM
cana-953	100	18	no	no	NOUN
cana-953	100	19	.	.	PUNCT
cana-953	101	1	4s	4s	NUM
cana-953	101	2	(	(	PUNCT
cana-953	101	3	2024	2024	NUM
cana-953	101	4	)	)	PUNCT
cana-953	101	5	606	606	NUM
cana-953	101	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	101	7	𝑡	𝑡	NOUN
cana-953	101	8	is	be	AUX
cana-953	101	9	chosen	choose	VERB
cana-953	101	10	using	use	VERB
cana-953	101	11	a	a	DET
cana-953	101	12	policy	policy	NOUN
cana-953	101	13	derived	derive	VERB
cana-953	101	14	from	from	ADP
cana-953	101	15	the	the	DET
cana-953	101	16	current	current	ADJ
cana-953	101	17	q	q	NOUN
cana-953	101	18	value	value	NOUN
cana-953	101	19	,	,	PUNCT
cana-953	101	20	which	which	PRON
cana-953	101	21	uses	use	VERB
cana-953	101	22	an	an	DET
cana-953	101	23	epsilon	epsilon	NOUN
cana-953	101	24	-	-	PUNCT
cana-953	101	25	greedy	greedy	ADJ
cana-953	101	26	strategy	strategy	NOUN
cana-953	101	27	to	to	PART
cana-953	101	28	balance	balance	VERB
cana-953	101	29	exploration	exploration	NOUN
cana-953	101	30	and	and	CCONJ
cana-953	101	31	exploitation	exploitation	NOUN
cana-953	101	32	.	.	PUNCT
cana-953	102	1	this	this	PRON
cana-953	102	2	is	be	AUX
cana-953	102	3	expressed	express	VERB
cana-953	102	4	via	via	ADP
cana-953	102	5	equation	equation	NOUN
cana-953	102	6	2	2	NUM
cana-953	102	7	,	,	PUNCT
cana-953	102	8	𝑎𝑡	𝑎𝑡	ADP
cana-953	102	9	=	=	SYM
cana-953	102	10	𝑎𝑟𝑔𝑚𝑎𝑥𝑎(𝑄(𝑠𝑡	𝑎𝑟𝑔𝑚𝑎𝑥𝑎(𝑄(𝑠𝑡	X
cana-953	102	11	,	,	PUNCT
cana-953	102	12	𝑎	𝑎	NOUN
cana-953	102	13	)	)	PUNCT
cana-953	102	14	−	−	ADP
cana-953	102	15	𝜖	𝜖	PROPN
cana-953	102	16	⋅	⋅	PROPN
cana-953	102	17	𝑆𝑇𝑂𝐶𝐻	𝑆𝑇𝑂𝐶𝐻	PROPN
cana-953	102	18	)	)	PUNCT
cana-953	102	19	…	…	PUNCT
cana-953	102	20	(	(	PUNCT
cana-953	102	21	2	2	X
cana-953	102	22	)	)	PUNCT
cana-953	102	23	where	where	SCONJ
cana-953	102	24	,	,	PUNCT
cana-953	102	25	𝜖	𝜖	PROPN
cana-953	102	26	is	be	AUX
cana-953	102	27	the	the	DET
cana-953	102	28	exploration	exploration	NOUN
cana-953	102	29	rate	rate	NOUN
cana-953	102	30	,	,	PUNCT
cana-953	102	31	and	and	CCONJ
cana-953	102	32	stoch	stoch	NOUN
cana-953	102	33	is	be	AUX
cana-953	102	34	a	a	DET
cana-953	102	35	stochastic	stochastic	ADJ
cana-953	102	36	number	number	NOUN
cana-953	102	37	between	between	ADP
cana-953	102	38	0	0	NUM
cana-953	102	39	and	and	CCONJ
cana-953	102	40	1	1	NUM
cana-953	102	41	sets	set	NOUN
cana-953	102	42	.	.	PUNCT
cana-953	103	1	the	the	DET
cana-953	103	2	reward	reward	NOUN
cana-953	103	3	𝑟𝑡	𝑟𝑡	VERB
cana-953	103	4	at	at	ADP
cana-953	103	5	timestamp	timestamp	NOUN
cana-953	103	6	𝑡	𝑡	PROPN
cana-953	103	7	is	be	AUX
cana-953	103	8	defined	define	VERB
cana-953	103	9	as	as	ADP
cana-953	103	10	the	the	DET
cana-953	103	11	negative	negative	NOUN
cana-953	103	12	of	of	ADP
cana-953	103	13	the	the	DET
cana-953	103	14	job	job	NOUN
cana-953	103	15	completion	completion	NOUN
cana-953	103	16	delay	delay	NOUN
cana-953	103	17	,	,	PUNCT
cana-953	103	18	integrated	integrate	VERB
cana-953	103	19	over	over	ADP
cana-953	103	20	a	a	DET
cana-953	103	21	timestamp	timestamp	NOUN
cana-953	103	22	interval	interval	NOUN
cana-953	103	23	,	,	PUNCT
cana-953	103	24	representing	represent	VERB
cana-953	103	25	the	the	DET
cana-953	103	26	immediate	immediate	ADJ
cana-953	103	27	cost	cost	NOUN
cana-953	103	28	of	of	ADP
cana-953	103	29	the	the	DET
cana-953	103	30	chosen	choose	VERB
cana-953	103	31	action	action	NOUN
cana-953	103	32	via	via	ADP
cana-953	103	33	equation	equation	NOUN
cana-953	103	34	3	3	NUM
cana-953	103	35	,	,	PUNCT
cana-953	103	36	𝑟𝑡	𝑟𝑡	NOUN
cana-953	103	37	=	=	SYM
cana-953	103	38	−	−	PROPN
cana-953	103	39	∫	∫	PROPN
cana-953	103	40	𝑐(𝜏	𝑐(𝜏	NUM
cana-953	103	41	)	)	PUNCT
cana-953	103	42	 	 	SPACE
cana-953	103	43	𝑑𝜏	𝑑𝜏	PROPN
cana-953	103	44	𝑡+𝛥𝑡	𝑡+𝛥𝑡	X
cana-953	103	45	𝑡	𝑡	PROPN
cana-953	103	46	…	…	PUNCT
cana-953	103	47	(	(	PUNCT
cana-953	103	48	3	3	NUM
cana-953	103	49	)	)	PUNCT
cana-953	103	50	where	where	SCONJ
cana-953	103	51	,	,	PUNCT
cana-953	103	52	𝑐(𝜏	𝑐(𝜏	NUM
cana-953	103	53	)	)	PUNCT
cana-953	103	54	is	be	AUX
cana-953	103	55	the	the	DET
cana-953	103	56	job	job	NOUN
cana-953	103	57	completion	completion	NOUN
cana-953	103	58	timestamp	timestamp	NOUN
cana-953	103	59	at	at	ADP
cana-953	103	60	continuous	continuous	ADJ
cana-953	103	61	timestamp	timestamp	NOUN
cana-953	103	62	𝜏	𝜏	NOUN
cana-953	103	63	,	,	PUNCT
cana-953	103	64	and	and	CCONJ
cana-953	103	65	δ𝑡	δ𝑡	PROPN
cana-953	103	66	is	be	AUX
cana-953	103	67	the	the	DET
cana-953	103	68	scheduling	scheduling	NOUN
cana-953	103	69	interval	interval	NOUN
cana-953	103	70	sets	set	NOUN
cana-953	103	71	.	.	PUNCT
cana-953	104	1	next	next	ADV
cana-953	104	2	,	,	PUNCT
cana-953	104	3	the	the	DET
cana-953	104	4	update	update	NOUN
cana-953	104	5	rule	rule	NOUN
cana-953	104	6	for	for	ADP
cana-953	104	7	the	the	DET
cana-953	104	8	q	q	NOUN
cana-953	104	9	value	value	NOUN
cana-953	104	10	is	be	AUX
cana-953	104	11	given	give	VERB
cana-953	104	12	by	by	ADP
cana-953	104	13	the	the	DET
cana-953	104	14	sarsa	sarsa	PROPN
cana-953	104	15	algorithm	algorithm	PROPN
cana-953	104	16	,	,	PUNCT
cana-953	104	17	incorporating	incorporate	VERB
cana-953	104	18	both	both	CCONJ
cana-953	104	19	the	the	DET
cana-953	104	20	reward	reward	NOUN
cana-953	104	21	received	receive	VERB
cana-953	104	22	and	and	CCONJ
cana-953	104	23	the	the	DET
cana-953	104	24	estimate	estimate	NOUN
cana-953	104	25	of	of	ADP
cana-953	104	26	subsequent	subsequent	ADJ
cana-953	104	27	states	state	NOUN
cana-953	104	28	and	and	CCONJ
cana-953	104	29	actions	action	NOUN
cana-953	104	30	via	via	ADP
cana-953	104	31	equation	equation	NOUN
cana-953	104	32	4	4	NUM
cana-953	104	33	,	,	PUNCT
cana-953	104	34	𝑄(𝑠𝑡	𝑄(𝑠𝑡	NOUN
cana-953	104	35	,	,	PUNCT
cana-953	104	36	𝑎𝑡	𝑎𝑡	PROPN
cana-953	104	37	)	)	PUNCT
cana-953	104	38	←	←	PROPN
cana-953	104	39	𝑄(𝑠𝑡	𝑄(𝑠𝑡	PROPN
cana-953	104	40	,	,	PUNCT
cana-953	104	41	𝑎𝑡	𝑎𝑡	PROPN
cana-953	104	42	)	)	PUNCT
cana-953	105	1	+	+	CCONJ
cana-953	105	2	𝛼[𝑟(𝑡	𝛼[𝑟(𝑡	NUM
cana-953	105	3	+	+	CCONJ
cana-953	105	4	1	1	NUM
cana-953	105	5	)	)	PUNCT
cana-953	105	6	+	+	CCONJ
cana-953	106	1	𝛾𝑄(𝑠(𝑡	𝛾𝑄(𝑠(𝑡	PROPN
cana-953	106	2	+	+	NOUN
cana-953	106	3	1	1	NUM
cana-953	106	4	)	)	PUNCT
cana-953	106	5	,	,	PUNCT
cana-953	106	6	𝑎(𝑡	𝑎(𝑡	PROPN
cana-953	106	7	+	+	CCONJ
cana-953	106	8	1	1	NUM
cana-953	106	9	)	)	PUNCT
cana-953	106	10	)	)	PUNCT
cana-953	107	1	−	−	PROPN
cana-953	108	1	𝑄(𝑠𝑡	𝑄(𝑠𝑡	NOUN
cana-953	108	2	,	,	PUNCT
cana-953	108	3	𝑎𝑡	𝑎𝑡	PROPN
cana-953	108	4	)	)	PUNCT
cana-953	108	5	]	]	PUNCT
cana-953	108	6	…	…	PUNCT
cana-953	108	7	(	(	PUNCT
cana-953	108	8	4	4	NUM
cana-953	108	9	)	)	PUNCT
cana-953	108	10	where	where	SCONJ
cana-953	108	11	,	,	PUNCT
cana-953	108	12	𝛼	𝛼	PROPN
cana-953	108	13	is	be	AUX
cana-953	108	14	the	the	DET
cana-953	108	15	learning	learning	NOUN
cana-953	108	16	rate	rate	NOUN
cana-953	108	17	and	and	CCONJ
cana-953	108	18	𝛾	𝛾	NOUN
cana-953	108	19	is	be	AUX
cana-953	108	20	the	the	DET
cana-953	108	21	discount	discount	NOUN
cana-953	108	22	factor	factor	NOUN
cana-953	108	23	.	.	PUNCT
cana-953	109	1	based	base	VERB
cana-953	109	2	on	on	ADP
cana-953	109	3	this	this	PRON
cana-953	109	4	,	,	PUNCT
cana-953	109	5	the	the	DET
cana-953	109	6	temporal	temporal	ADJ
cana-953	109	7	difference	difference	NOUN
cana-953	109	8	(	(	PUNCT
cana-953	109	9	td	td	NOUN
cana-953	109	10	)	)	PUNCT
cana-953	109	11	error	error	NOUN
cana-953	109	12	,	,	PUNCT
cana-953	109	13	which	which	PRON
cana-953	109	14	measures	measure	VERB
cana-953	109	15	the	the	DET
cana-953	109	16	difference	difference	NOUN
cana-953	109	17	between	between	ADP
cana-953	109	18	the	the	DET
cana-953	109	19	estimated	estimate	VERB
cana-953	109	20	rewards	reward	NOUN
cana-953	109	21	of	of	ADP
cana-953	109	22	successive	successive	ADJ
cana-953	109	23	states	state	NOUN
cana-953	109	24	,	,	PUNCT
cana-953	109	25	is	be	AUX
cana-953	109	26	crucial	crucial	ADJ
cana-953	109	27	for	for	ADP
cana-953	109	28	convergence	convergence	NOUN
cana-953	109	29	,	,	PUNCT
cana-953	109	30	which	which	PRON
cana-953	109	31	is	be	AUX
cana-953	109	32	represented	represent	VERB
cana-953	109	33	via	via	ADP
cana-953	109	34	equation	equation	NOUN
cana-953	109	35	5	5	NUM
cana-953	109	36	,	,	PUNCT
cana-953	109	37	𝛿𝑡	𝛿𝑡	NOUN
cana-953	109	38	=	=	SYM
cana-953	109	39	𝑟(𝑡	𝑟(𝑡	NOUN
cana-953	109	40	+	+	CCONJ
cana-953	109	41	1	1	NUM
cana-953	109	42	)	)	PUNCT
cana-953	110	1	+	+	CCONJ
cana-953	110	2	𝛾𝑄(𝑠(𝑡	𝛾𝑄(𝑠(𝑡	PROPN
cana-953	110	3	+	+	NOUN
cana-953	110	4	1	1	NUM
cana-953	110	5	)	)	PUNCT
cana-953	110	6	,	,	PUNCT
cana-953	110	7	𝑎(𝑡	𝑎(𝑡	PROPN
cana-953	110	8	+	+	CCONJ
cana-953	110	9	1	1	NUM
cana-953	110	10	)	)	PUNCT
cana-953	110	11	)	)	PUNCT
cana-953	111	1	−	−	PROPN
cana-953	112	1	𝑄(𝑠𝑡	𝑄(𝑠𝑡	NOUN
cana-953	112	2	,	,	PUNCT
cana-953	112	3	𝑎𝑡	𝑎𝑡	PROPN
cana-953	112	4	)	)	PUNCT
cana-953	112	5	…	…	PUNCT
cana-953	112	6	(	(	PUNCT
cana-953	112	7	5	5	X
cana-953	112	8	)	)	PUNCT
cana-953	112	9	finally	finally	ADV
cana-953	112	10	,	,	PUNCT
cana-953	112	11	the	the	DET
cana-953	112	12	convergence	convergence	NOUN
cana-953	112	13	of	of	ADP
cana-953	112	14	the	the	DET
cana-953	112	15	policy	policy	NOUN
cana-953	112	16	toward	toward	ADP
cana-953	112	17	an	an	DET
cana-953	112	18	optimal	optimal	ADJ
cana-953	112	19	policy	policy	NOUN
cana-953	112	20	is	be	AUX
cana-953	112	21	ensured	ensure	VERB
cana-953	112	22	by	by	ADP
cana-953	112	23	the	the	DET
cana-953	112	24	condition	condition	NOUN
cana-953	112	25	that	that	SCONJ
cana-953	112	26	the	the	DET
cana-953	112	27	derivative	derivative	NOUN
cana-953	112	28	of	of	ADP
cana-953	112	29	the	the	DET
cana-953	112	30	temporal	temporal	ADJ
cana-953	112	31	difference	difference	NOUN
cana-953	112	32	error	error	NOUN
cana-953	112	33	with	with	ADP
cana-953	112	34	respect	respect	NOUN
cana-953	112	35	to	to	ADP
cana-953	112	36	the	the	DET
cana-953	112	37	policy	policy	NOUN
cana-953	112	38	parameters	parameter	NOUN
cana-953	112	39	approaches	approach	VERB
cana-953	112	40	zero	zero	NUM
cana-953	112	41	as	as	ADP
cana-953	112	42	training	training	NOUN
cana-953	112	43	progresses	progress	NOUN
cana-953	112	44	,	,	PUNCT
cana-953	112	45	which	which	PRON
cana-953	112	46	is	be	AUX
cana-953	112	47	represented	represent	VERB
cana-953	112	48	via	via	ADP
cana-953	112	49	equation	equation	NOUN
cana-953	112	50	6	6	NUM
cana-953	112	51	,	,	PUNCT
cana-953	112	52	𝑑𝛿𝑡	𝑑𝛿𝑡	ADV
cana-953	112	53	𝑑𝜃	𝑑𝜃	PROPN
cana-953	112	54	→	→	SYM
cana-953	112	55	0	0	NUM
cana-953	112	56	𝑎𝑠	𝑎𝑠	PROPN
cana-953	112	57	𝑡	𝑡	PROPN
cana-953	112	58	→	→	SYM
cana-953	112	59	∞	∞	NUM
cana-953	112	60	…	…	PUNCT
cana-953	112	61	(	(	PUNCT
cana-953	112	62	6	6	NUM
cana-953	112	63	)	)	PUNCT
cana-953	112	64	where	where	SCONJ
cana-953	112	65	,	,	PUNCT
cana-953	112	66	𝜃	𝜃	PRON
cana-953	112	67	represents	represent	VERB
cana-953	112	68	the	the	DET
cana-953	112	69	parameters	parameter	NOUN
cana-953	112	70	of	of	ADP
cana-953	112	71	the	the	DET
cana-953	112	72	policy	policy	NOUN
cana-953	112	73	(	(	PUNCT
cana-953	112	74	weights	weight	NOUN
cana-953	112	75	in	in	ADP
cana-953	112	76	a	a	DET
cana-953	112	77	neural	neural	ADJ
cana-953	112	78	network	network	NOUN
cana-953	112	79	)	)	PUNCT
cana-953	112	80	sets	set	NOUN
cana-953	112	81	.	.	PUNCT
cana-953	113	1	the	the	DET
cana-953	113	2	integration	integration	NOUN
cana-953	113	3	of	of	ADP
cana-953	113	4	drdjs	drdjs	NOUN
cana-953	113	5	within	within	ADP
cana-953	113	6	the	the	DET
cana-953	113	7	broader	broad	ADJ
cana-953	113	8	scheduling	scheduling	NOUN
cana-953	113	9	framework	framework	NOUN
cana-953	113	10	complements	complement	VERB
cana-953	113	11	other	other	ADJ
cana-953	113	12	methods	method	NOUN
cana-953	113	13	such	such	ADJ
cana-953	113	14	as	as	ADP
cana-953	113	15	adas	adas	PROPN
cana-953	113	16	and	and	CCONJ
cana-953	113	17	cjcs	cjc	NOUN
cana-953	113	18	by	by	ADP
cana-953	113	19	providing	provide	VERB
cana-953	113	20	a	a	DET
cana-953	113	21	dynamic	dynamic	ADJ
cana-953	113	22	and	and	CCONJ
cana-953	113	23	continuously	continuously	ADV
cana-953	113	24	adapting	adapt	VERB
cana-953	113	25	scheduling	scheduling	NOUN
cana-953	113	26	policy	policy	NOUN
cana-953	113	27	that	that	PRON
cana-953	113	28	responds	respond	VERB
cana-953	113	29	in	in	ADP
cana-953	113	30	real	real	ADJ
cana-953	113	31	timestamp	timestamp	NOUN
cana-953	113	32	to	to	ADP
cana-953	113	33	changes	change	NOUN
cana-953	113	34	in	in	ADP
cana-953	113	35	the	the	DET
cana-953	113	36	system	system	NOUN
cana-953	113	37	state	state	NOUN
cana-953	113	38	and	and	CCONJ
cana-953	113	39	workload	workload	NOUN
cana-953	113	40	.	.	PUNCT
cana-953	114	1	this	this	DET
cana-953	114	2	model	model	NOUN
cana-953	114	3	is	be	AUX
cana-953	114	4	particularly	particularly	ADV
cana-953	114	5	effective	effective	ADJ
cana-953	114	6	in	in	ADP
cana-953	114	7	environments	environment	NOUN
cana-953	114	8	where	where	SCONJ
cana-953	114	9	job	job	NOUN
cana-953	114	10	characteristics	characteristic	NOUN
cana-953	114	11	and	and	CCONJ
cana-953	114	12	system	system	NOUN
cana-953	114	13	performance	performance	NOUN
cana-953	114	14	metrics	metric	NOUN
cana-953	114	15	are	be	AUX
cana-953	114	16	highly	highly	ADV
cana-953	114	17	variable	variable	ADJ
cana-953	114	18	,	,	PUNCT
cana-953	114	19	ensuring	ensure	VERB
cana-953	114	20	that	that	SCONJ
cana-953	114	21	resource	resource	NOUN
cana-953	114	22	allocation	allocation	NOUN
cana-953	114	23	is	be	AUX
cana-953	114	24	always	always	ADV
cana-953	114	25	aligned	align	VERB
cana-953	114	26	with	with	ADP
cana-953	114	27	the	the	DET
cana-953	114	28	current	current	ADJ
cana-953	114	29	system	system	NOUN
cana-953	114	30	needs	need	NOUN
cana-953	114	31	and	and	CCONJ
cana-953	114	32	conditions	condition	NOUN
cana-953	114	33	,	,	PUNCT
cana-953	114	34	thereby	thereby	ADV
cana-953	114	35	enhancing	enhance	VERB
cana-953	114	36	overall	overall	ADJ
cana-953	114	37	efficiency	efficiency	NOUN
cana-953	114	38	and	and	CCONJ
cana-953	114	39	reducing	reduce	VERB
cana-953	114	40	job	job	NOUN
cana-953	114	41	processing	processing	NOUN
cana-953	114	42	delays	delay	NOUN
cana-953	114	43	.	.	PUNCT
cana-953	115	1	next	next	ADJ
cana-953	115	2	,	,	PUNCT
cana-953	115	3	as	as	ADP
cana-953	115	4	per	per	ADP
cana-953	115	5	figure	figure	NOUN
cana-953	115	6	2	2	NUM
cana-953	115	7	,	,	PUNCT
cana-953	115	8	the	the	DET
cana-953	115	9	anomaly	anomaly	NOUN
cana-953	115	10	detection	detection	NOUN
cana-953	115	11	-	-	PUNCT
cana-953	115	12	driven	drive	VERB
cana-953	115	13	adaptive	adaptive	ADJ
cana-953	115	14	scheduling	scheduling	NOUN
cana-953	115	15	(	(	PUNCT
cana-953	115	16	adas	adas	PROPN
cana-953	115	17	)	)	PUNCT
cana-953	115	18	model	model	NOUN
cana-953	115	19	forms	form	VERB
cana-953	115	20	a	a	DET
cana-953	115	21	critical	critical	ADJ
cana-953	115	22	component	component	NOUN
cana-953	115	23	of	of	ADP
cana-953	115	24	a	a	DET
cana-953	115	25	comprehensive	comprehensive	ADJ
cana-953	115	26	scheduling	scheduling	NOUN
cana-953	115	27	framework	framework	NOUN
cana-953	115	28	tailored	tailor	VERB
cana-953	115	29	for	for	ADP
cana-953	115	30	mapreduce	mapreduce	NOUN
cana-953	115	31	systems	system	NOUN
cana-953	115	32	.	.	PUNCT
cana-953	116	1	this	this	DET
cana-953	116	2	model	model	NOUN
cana-953	116	3	leverages	leverage	NOUN
cana-953	116	4	anomaly	anomaly	NOUN
cana-953	116	5	detection	detection	NOUN
cana-953	116	6	techniques	technique	NOUN
cana-953	116	7	to	to	PART
cana-953	116	8	ensure	ensure	VERB
cana-953	116	9	efficient	efficient	ADJ
cana-953	116	10	resource	resource	NOUN
cana-953	116	11	allocation	allocation	NOUN
cana-953	116	12	and	and	CCONJ
cana-953	116	13	the	the	DET
cana-953	116	14	prioritization	prioritization	NOUN
cana-953	116	15	of	of	ADP
cana-953	116	16	critical	critical	ADJ
cana-953	116	17	jobs	job	NOUN
cana-953	116	18	in	in	ADP
cana-953	116	19	the	the	DET
cana-953	116	20	presence	presence	NOUN
cana-953	116	21	of	of	ADP
cana-953	116	22	anomalies	anomaly	NOUN
cana-953	116	23	,	,	PUNCT
cana-953	116	24	which	which	PRON
cana-953	116	25	are	be	AUX
cana-953	116	26	deviations	deviation	NOUN
cana-953	116	27	from	from	ADP
cana-953	116	28	normal	normal	ADJ
cana-953	116	29	operational	operational	ADJ
cana-953	116	30	metrics	metric	NOUN
cana-953	116	31	that	that	PRON
cana-953	116	32	might	might	AUX
cana-953	116	33	indicate	indicate	VERB
cana-953	116	34	potential	potential	ADJ
cana-953	116	35	issues	issue	NOUN
cana-953	116	36	or	or	CCONJ
cana-953	116	37	bottlenecks	bottleneck	NOUN
cana-953	116	38	within	within	ADP
cana-953	116	39	the	the	DET
cana-953	116	40	system	system	NOUN
cana-953	116	41	.	.	PUNCT
cana-953	117	1	communications	communication	NOUN
cana-953	117	2	on	on	ADP
cana-953	117	3	applied	apply	VERB
cana-953	117	4	nonlinear	nonlinear	ADJ
cana-953	117	5	analysis	analysis	NOUN
cana-953	117	6	issn	issn	NOUN
cana-953	117	7	:	:	PUNCT
cana-953	117	8	1074	1074	NUM
cana-953	117	9	-	-	PUNCT
cana-953	117	10	133x	133x	NUM
cana-953	117	11	vol	vol	NOUN
cana-953	117	12	31	31	NUM
cana-953	117	13	no	no	NOUN
cana-953	117	14	.	.	PUNCT
cana-953	118	1	4s	4s	NUM
cana-953	118	2	(	(	PUNCT
cana-953	118	3	2024	2024	NUM
cana-953	118	4	)	)	PUNCT
cana-953	118	5	607	607	NUM
cana-953	118	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	118	7	figure	figure	NOUN
cana-953	118	8	1	1	NUM
cana-953	118	9	.	.	PUNCT
cana-953	118	10	model	model	NOUN
cana-953	118	11	architecture	architecture	NOUN
cana-953	118	12	for	for	ADP
cana-953	118	13	the	the	DET
cana-953	118	14	proposed	propose	VERB
cana-953	118	15	scheduling	scheduling	NOUN
cana-953	118	16	process	process	NOUN
cana-953	118	17	adas	adas	PROPN
cana-953	118	18	is	be	AUX
cana-953	118	19	specifically	specifically	ADV
cana-953	118	20	designed	design	VERB
cana-953	118	21	to	to	PART
cana-953	118	22	enhance	enhance	VERB
cana-953	118	23	system	system	NOUN
cana-953	118	24	resilience	resilience	NOUN
cana-953	118	25	by	by	ADP
cana-953	118	26	dynamically	dynamically	ADV
cana-953	118	27	adapting	adapt	VERB
cana-953	118	28	to	to	ADP
cana-953	118	29	unexpected	unexpected	ADJ
cana-953	118	30	changes	change	NOUN
cana-953	118	31	,	,	PUNCT
cana-953	118	32	thus	thus	ADV
cana-953	118	33	maintaining	maintain	VERB
cana-953	118	34	system	system	NOUN
cana-953	118	35	performance	performance	NOUN
cana-953	118	36	and	and	CCONJ
cana-953	118	37	reducing	reduce	VERB
cana-953	118	38	delays	delay	NOUN
cana-953	118	39	in	in	ADP
cana-953	118	40	critical	critical	ADJ
cana-953	118	41	job	job	NOUN
cana-953	118	42	completions	completion	NOUN
cana-953	118	43	.	.	PUNCT
cana-953	119	1	the	the	DET
cana-953	119	2	rationale	rationale	NOUN
cana-953	119	3	behind	behind	ADP
cana-953	119	4	incorporating	incorporate	VERB
cana-953	119	5	adas	adas	PROPN
cana-953	119	6	within	within	ADP
cana-953	119	7	the	the	DET
cana-953	119	8	broader	broad	ADJ
cana-953	119	9	scheduling	scheduling	NOUN
cana-953	119	10	framework	framework	NOUN
cana-953	119	11	stems	stem	VERB
cana-953	119	12	from	from	ADP
cana-953	119	13	its	its	PRON
cana-953	119	14	capability	capability	NOUN
cana-953	119	15	to	to	PART
cana-953	119	16	address	address	VERB
cana-953	119	17	and	and	CCONJ
cana-953	119	18	mitigate	mitigate	VERB
cana-953	119	19	disruptions	disruption	NOUN
cana-953	119	20	promptly	promptly	ADV
cana-953	119	21	.	.	PUNCT
cana-953	120	1	unlike	unlike	ADP
cana-953	120	2	traditional	traditional	ADJ
cana-953	120	3	methods	method	NOUN
cana-953	120	4	that	that	PRON
cana-953	120	5	follow	follow	VERB
cana-953	120	6	static	static	ADJ
cana-953	120	7	rules	rule	NOUN
cana-953	120	8	,	,	PUNCT
cana-953	120	9	adas	adas	PROPN
cana-953	120	10	continuously	continuously	ADV
cana-953	120	11	monitors	monitor	VERB
cana-953	120	12	system	system	NOUN
cana-953	120	13	performance	performance	NOUN
cana-953	120	14	,	,	PUNCT
cana-953	120	15	applying	apply	VERB
cana-953	120	16	machine	machine	NOUN
cana-953	120	17	learning	learn	VERB
cana-953	120	18	algorithms	algorithm	NOUN
cana-953	120	19	to	to	PART
cana-953	120	20	detect	detect	VERB
cana-953	120	21	anomalies	anomaly	NOUN
cana-953	120	22	and	and	CCONJ
cana-953	120	23	adjust	adjust	VERB
cana-953	120	24	scheduling	scheduling	NOUN
cana-953	120	25	decisions	decision	NOUN
cana-953	120	26	in	in	ADP
cana-953	120	27	real	real	ADJ
cana-953	120	28	-	-	PUNCT
cana-953	120	29	time	time	NOUN
cana-953	120	30	scenarios	scenario	NOUN
cana-953	120	31	.	.	PUNCT
cana-953	121	1	this	this	DET
cana-953	121	2	approach	approach	NOUN
cana-953	121	3	is	be	AUX
cana-953	121	4	particularly	particularly	ADV
cana-953	121	5	effective	effective	ADJ
cana-953	121	6	in	in	ADP
cana-953	121	7	environments	environment	NOUN
cana-953	121	8	characterized	characterize	VERB
cana-953	121	9	by	by	ADP
cana-953	121	10	variable	variable	ADJ
cana-953	121	11	workloads	workload	NOUN
cana-953	121	12	and	and	CCONJ
cana-953	121	13	the	the	DET
cana-953	121	14	potential	potential	NOUN
cana-953	121	15	for	for	ADP
cana-953	121	16	unexpected	unexpected	ADJ
cana-953	121	17	system	system	NOUN
cana-953	121	18	behavior	behavior	NOUN
cana-953	121	19	,	,	PUNCT
cana-953	121	20	making	make	VERB
cana-953	121	21	it	it	PRON
cana-953	121	22	an	an	DET
cana-953	121	23	essential	essential	ADJ
cana-953	121	24	complement	complement	NOUN
cana-953	121	25	to	to	ADP
cana-953	121	26	other	other	ADJ
cana-953	121	27	models	model	NOUN
cana-953	121	28	like	like	ADP
cana-953	121	29	drdjs	drdjs	NOUN
cana-953	121	30	,	,	PUNCT
cana-953	121	31	which	which	PRON
cana-953	121	32	focuses	focus	VERB
cana-953	121	33	on	on	ADP
cana-953	121	34	optimizing	optimize	VERB
cana-953	121	35	job	job	NOUN
cana-953	121	36	scheduling	scheduling	NOUN
cana-953	121	37	through	through	ADP
cana-953	121	38	reinforcement	reinforcement	NOUN
cana-953	121	39	learning	learning	NOUN
cana-953	121	40	.	.	PUNCT
cana-953	122	1	for	for	ADP
cana-953	122	2	this	this	DET
cana-953	122	3	model	model	NOUN
cana-953	122	4	,	,	PUNCT
cana-953	122	5	let	let	VERB
cana-953	122	6	𝑠𝑡	𝑠𝑡	PROPN
cana-953	122	7	represent	represent	VERB
cana-953	122	8	the	the	DET
cana-953	122	9	state	state	NOUN
cana-953	122	10	of	of	ADP
cana-953	122	11	the	the	DET
cana-953	122	12	system	system	NOUN
cana-953	122	13	at	at	ADP
cana-953	122	14	timestamp	timestamp	NOUN
cana-953	122	15	𝑡	𝑡	PROPN
cana-953	122	16	,	,	PUNCT
cana-953	122	17	encapsulated	encapsulate	VERB
cana-953	122	18	by	by	ADP
cana-953	122	19	a	a	DET
cana-953	122	20	vector	vector	NOUN
cana-953	122	21	of	of	ADP
cana-953	122	22	observed	observe	VERB
cana-953	122	23	system	system	NOUN
cana-953	122	24	metrics	metric	NOUN
cana-953	122	25	,	,	PUNCT
cana-953	122	26	via	via	ADP
cana-953	122	27	equation	equation	NOUN
cana-953	122	28	7	7	NUM
cana-953	122	29	,	,	PUNCT
cana-953	122	30	𝑠𝑡	𝑠𝑡	PROPN
cana-953	122	31	=	=	SYM
cana-953	122	32	(	(	PUNCT
cana-953	122	33	𝑥1(𝑡	𝑥1(𝑡	NOUN
cana-953	122	34	)	)	PUNCT
cana-953	122	35	,	,	PUNCT
cana-953	122	36	𝑥2(𝑡	𝑥2(𝑡	NOUN
cana-953	122	37	)	)	PUNCT
cana-953	122	38	,	,	PUNCT
cana-953	122	39	…	…	PUNCT
cana-953	122	40	,	,	PUNCT
cana-953	122	41	𝑥𝑛(𝑡	𝑥𝑛(𝑡	NOUN
cana-953	122	42	)	)	PUNCT
cana-953	122	43	)	)	PUNCT
cana-953	122	44	…	…	PUNCT
cana-953	123	1	(	(	PUNCT
cana-953	123	2	7	7	NUM
cana-953	123	3	)	)	PUNCT
cana-953	123	4	where	where	SCONJ
cana-953	123	5	,	,	PUNCT
cana-953	123	6	𝑥𝑖(𝑡	𝑥𝑖(𝑡	PUNCT
cana-953	123	7	)	)	PUNCT
cana-953	123	8	represents	represent	VERB
cana-953	123	9	individual	individual	ADJ
cana-953	123	10	metrics	metric	NOUN
cana-953	123	11	such	such	ADJ
cana-953	123	12	as	as	ADP
cana-953	123	13	cpu	cpu	NOUN
cana-953	123	14	load	load	NOUN
cana-953	123	15	,	,	PUNCT
cana-953	123	16	memory	memory	NOUN
cana-953	123	17	usage	usage	NOUN
cana-953	123	18	,	,	PUNCT
cana-953	123	19	network	network	NOUN
cana-953	123	20	throughput	throughput	NOUN
cana-953	123	21	,	,	PUNCT
cana-953	123	22	etc	etc	X
cana-953	123	23	.	.	X
cana-953	123	24	,	,	PUNCT
cana-953	123	25	at	at	ADP
cana-953	123	26	timestamp	timestamp	NOUN
cana-953	123	27	𝑡	𝑡	PROPN
cana-953	123	28	sets	set	NOUN
cana-953	123	29	.	.	PUNCT
cana-953	124	1	an	an	DET
cana-953	124	2	anomaly	anomaly	NOUN
cana-953	124	3	detection	detection	NOUN
cana-953	124	4	function	function	NOUN
cana-953	124	5	𝑓(𝑠𝑡	𝑓(𝑠𝑡	PROPN
cana-953	124	6	)	)	PUNCT
cana-953	124	7	is	be	AUX
cana-953	124	8	applied	apply	VERB
cana-953	124	9	to	to	ADP
cana-953	124	10	the	the	DET
cana-953	124	11	system	system	NOUN
cana-953	124	12	state	state	NOUN
cana-953	124	13	to	to	PART
cana-953	124	14	evaluate	evaluate	VERB
cana-953	124	15	the	the	DET
cana-953	124	16	presence	presence	NOUN
cana-953	124	17	of	of	ADP
cana-953	124	18	anomalies	anomaly	NOUN
cana-953	124	19	.	.	PUNCT
cana-953	125	1	this	this	DET
cana-953	125	2	function	function	NOUN
cana-953	125	3	could	could	AUX
cana-953	125	4	typically	typically	ADV
cana-953	125	5	be	be	AUX
cana-953	125	6	an	an	DET
cana-953	125	7	output	output	NOUN
cana-953	125	8	from	from	ADP
cana-953	125	9	a	a	DET
cana-953	125	10	machine	machine	NOUN
cana-953	125	11	learning	learn	VERB
cana-953	125	12	model	model	NOUN
cana-953	125	13	trained	train	VERB
cana-953	125	14	on	on	ADP
cana-953	125	15	historical	historical	ADJ
cana-953	125	16	data	datum	NOUN
cana-953	125	17	to	to	PART
cana-953	125	18	recognize	recognize	VERB
cana-953	125	19	patterns	pattern	NOUN
cana-953	125	20	deviating	deviate	VERB
cana-953	125	21	from	from	ADP
cana-953	125	22	the	the	DET
cana-953	125	23	norm	norm	NOUN
cana-953	125	24	,	,	PUNCT
cana-953	125	25	via	via	ADP
cana-953	125	26	equation	equation	NOUN
cana-953	125	27	8	8	NUM
cana-953	125	28	,	,	PUNCT
cana-953	125	29	𝑎𝑡	𝑎𝑡	NOUN
cana-953	125	30	=	=	SYM
cana-953	125	31	𝑓(𝑠𝑡	𝑓(𝑠𝑡	PROPN
cana-953	125	32	)	)	PUNCT
cana-953	126	1	=	=	PRON
cana-953	126	2	{	{	PUNCT
cana-953	126	3	1	1	NUM
cana-953	126	4	,	,	PUNCT
cana-953	126	5	𝑖𝑓	𝑖𝑓	ADV
cana-953	126	6	𝑎𝑛𝑜𝑚𝑎𝑙𝑦	𝑎𝑛𝑜𝑚𝑎𝑙𝑦	VERB
cana-953	126	7	𝑑𝑒𝑡𝑒𝑐𝑡𝑒𝑑	𝑑𝑒𝑡𝑒𝑐𝑡𝑒𝑑	NOUN
cana-953	126	8	0	0	NUM
cana-953	126	9	,	,	PUNCT
cana-953	126	10	𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒	𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒	NOUN
cana-953	126	11	…	…	PUNCT
cana-953	126	12	(	(	PUNCT
cana-953	126	13	8)	8)	NUM
cana-953	126	14	upon	upon	SCONJ
cana-953	126	15	detection	detection	NOUN
cana-953	126	16	of	of	ADP
cana-953	126	17	an	an	DET
cana-953	126	18	anomaly	anomaly	NOUN
cana-953	126	19	,	,	PUNCT
cana-953	126	20	the	the	DET
cana-953	126	21	resource	resource	NOUN
cana-953	126	22	allocation	allocation	NOUN
cana-953	126	23	strategy	strategy	NOUN
cana-953	126	24	𝑅(𝑎𝑡,𝑠𝑡	𝑅(𝑎𝑡,𝑠𝑡	NOUN
cana-953	126	25	)	)	PUNCT
cana-953	126	26	is	be	AUX
cana-953	126	27	adjusted	adjust	VERB
cana-953	126	28	,	,	PUNCT
cana-953	126	29	which	which	PRON
cana-953	126	30	is	be	AUX
cana-953	126	31	expressed	express	VERB
cana-953	126	32	via	via	ADP
cana-953	126	33	equation	equation	NOUN
cana-953	126	34	9	9	NUM
cana-953	126	35	,	,	PUNCT
cana-953	126	36	𝑅(𝑎𝑡	𝑅(𝑎𝑡	NOUN
cana-953	126	37	,	,	PUNCT
cana-953	126	38	𝑠𝑡	𝑠𝑡	PROPN
cana-953	126	39	)	)	PUNCT
cana-953	126	40	=	=	SYM
cana-953	126	41	𝑔(𝑠𝑡	𝑔(𝑠𝑡	NOUN
cana-953	126	42	)	)	PUNCT
cana-953	127	1	+	+	NUM
cana-953	127	2	𝛿(𝑎𝑡	𝛿(𝑎𝑡	NUM
cana-953	127	3	)	)	PUNCT
cana-953	127	4	…	…	PUNCT
cana-953	127	5	(	(	PUNCT
cana-953	127	6	9	9	X
cana-953	127	7	)	)	PUNCT
cana-953	127	8	communications	communication	NOUN
cana-953	127	9	on	on	ADP
cana-953	127	10	applied	apply	VERB
cana-953	127	11	nonlinear	nonlinear	ADJ
cana-953	127	12	analysis	analysis	NOUN
cana-953	127	13	issn	issn	NOUN
cana-953	127	14	:	:	PUNCT
cana-953	127	15	1074	1074	NUM
cana-953	127	16	-	-	PUNCT
cana-953	127	17	133x	133x	NUM
cana-953	127	18	vol	vol	NOUN
cana-953	127	19	31	31	NUM
cana-953	127	20	no	no	NOUN
cana-953	127	21	.	.	PUNCT
cana-953	128	1	4s	4s	NUM
cana-953	128	2	(	(	PUNCT
cana-953	128	3	2024	2024	NUM
cana-953	128	4	)	)	PUNCT
cana-953	128	5	608	608	NUM
cana-953	128	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	128	7	where	where	SCONJ
cana-953	128	8	,	,	PUNCT
cana-953	128	9	𝑔(𝑠𝑡	𝑔(𝑠𝑡	PROPN
cana-953	128	10	)	)	PUNCT
cana-953	128	11	represents	represent	VERB
cana-953	128	12	the	the	DET
cana-953	128	13	normal	normal	ADJ
cana-953	128	14	resource	resource	NOUN
cana-953	128	15	allocation	allocation	NOUN
cana-953	128	16	policy	policy	NOUN
cana-953	128	17	,	,	PUNCT
cana-953	128	18	and	and	CCONJ
cana-953	128	19	𝛿(𝑎𝑡	𝛿(𝑎𝑡	NUM
cana-953	128	20	)	)	PUNCT
cana-953	128	21	is	be	AUX
cana-953	128	22	an	an	DET
cana-953	128	23	adjustment	adjustment	NOUN
cana-953	128	24	function	function	NOUN
cana-953	128	25	that	that	PRON
cana-953	128	26	reallocates	reallocate	VERB
cana-953	128	27	resources	resource	NOUN
cana-953	128	28	to	to	PART
cana-953	128	29	prioritize	prioritize	VERB
cana-953	128	30	critical	critical	ADJ
cana-953	128	31	jobs	job	NOUN
cana-953	128	32	when	when	SCONJ
cana-953	128	33	an	an	DET
cana-953	128	34	anomaly	anomaly	NOUN
cana-953	128	35	is	be	AUX
cana-953	128	36	detected	detect	VERB
cana-953	128	37	.	.	PUNCT
cana-953	129	1	the	the	DET
cana-953	129	2	sensitivity	sensitivity	NOUN
cana-953	129	3	of	of	ADP
cana-953	129	4	the	the	DET
cana-953	129	5	adjustment	adjustment	NOUN
cana-953	129	6	function	function	NOUN
cana-953	129	7	with	with	ADP
cana-953	129	8	respect	respect	NOUN
cana-953	129	9	to	to	ADP
cana-953	129	10	the	the	DET
cana-953	129	11	anomaly	anomaly	NOUN
cana-953	129	12	indicator	indicator	NOUN
cana-953	129	13	is	be	AUX
cana-953	129	14	given	give	VERB
cana-953	129	15	via	via	ADP
cana-953	129	16	equation	equation	NOUN
cana-953	129	17	10	10	NUM
cana-953	129	18	,	,	PUNCT
cana-953	129	19	𝜕𝑅	𝜕𝑅	X
cana-953	129	20	𝜕𝑎𝑡	𝜕𝑎𝑡	PUNCT
cana-953	129	21	=	=	SYM
cana-953	129	22	𝜕𝛿(𝑎𝑡	𝜕𝛿(𝑎𝑡	NOUN
cana-953	129	23	)	)	PUNCT
cana-953	129	24	𝜕𝑎𝑡	𝜕𝑎𝑡	PUNCT
cana-953	129	25	…	…	PUNCT
cana-953	129	26	(	(	PUNCT
cana-953	129	27	10	10	NUM
cana-953	129	28	)	)	PUNCT
cana-953	129	29	thus	thus	ADV
cana-953	129	30	,	,	PUNCT
cana-953	129	31	indicating	indicate	VERB
cana-953	129	32	how	how	SCONJ
cana-953	129	33	resource	resource	NOUN
cana-953	129	34	allocation	allocation	NOUN
cana-953	129	35	should	should	AUX
cana-953	129	36	be	be	AUX
cana-953	129	37	modified	modify	VERB
cana-953	129	38	in	in	ADP
cana-953	129	39	response	response	NOUN
cana-953	129	40	to	to	ADP
cana-953	129	41	detected	detect	VERB
cana-953	129	42	anomalies	anomaly	NOUN
cana-953	129	43	.	.	PUNCT
cana-953	130	1	to	to	PART
cana-953	130	2	understand	understand	VERB
cana-953	130	3	the	the	DET
cana-953	130	4	cumulative	cumulative	ADJ
cana-953	130	5	impact	impact	NOUN
cana-953	130	6	of	of	ADP
cana-953	130	7	adjustments	adjustment	NOUN
cana-953	130	8	over	over	ADP
cana-953	130	9	a	a	DET
cana-953	130	10	scheduling	scheduling	NOUN
cana-953	130	11	period	period	NOUN
cana-953	130	12	𝑇	𝑇	PROPN
cana-953	130	13	,	,	PUNCT
cana-953	130	14	the	the	DET
cana-953	130	15	integral	integral	NOUN
cana-953	130	16	of	of	ADP
cana-953	130	17	the	the	DET
cana-953	130	18	resource	resource	NOUN
cana-953	130	19	allocation	allocation	NOUN
cana-953	130	20	strategy	strategy	NOUN
cana-953	130	21	is	be	AUX
cana-953	130	22	calculated	calculate	VERB
cana-953	130	23	via	via	ADP
cana-953	130	24	equation	equation	NOUN
cana-953	130	25	11	11	NUM
cana-953	130	26	,	,	PUNCT
cana-953	130	27	∫	∫	PROPN
cana-953	130	28	𝑅(𝑎𝑡	𝑅(𝑎𝑡	PROPN
cana-953	130	29	,	,	PUNCT
cana-953	130	30	𝑠𝑡	𝑠𝑡	PROPN
cana-953	130	31	)	)	PUNCT
cana-953	130	32	 	 	SPACE
cana-953	130	33	𝑑𝑡	𝑑𝑡	ADP
cana-953	130	34	𝑇	𝑇	PROPN
cana-953	130	35	0	0	NUM
cana-953	131	1	=	=	SYM
cana-953	131	2	0	0	NUM
cana-953	131	3	…	…	PUNCT
cana-953	131	4	(	(	PUNCT
cana-953	131	5	11	11	NUM
cana-953	131	6	)	)	PUNCT
cana-953	131	7	which	which	PRON
cana-953	131	8	provides	provide	VERB
cana-953	131	9	a	a	DET
cana-953	131	10	measure	measure	NOUN
cana-953	131	11	of	of	ADP
cana-953	131	12	the	the	DET
cana-953	131	13	total	total	ADJ
cana-953	131	14	resources	resource	NOUN
cana-953	131	15	allocated	allocate	VERB
cana-953	131	16	in	in	ADP
cana-953	131	17	response	response	NOUN
cana-953	131	18	to	to	ADP
cana-953	131	19	the	the	DET
cana-953	131	20	dynamics	dynamic	NOUN
cana-953	131	21	of	of	ADP
cana-953	131	22	the	the	DET
cana-953	131	23	detected	detect	VERB
cana-953	131	24	anomalies	anomaly	NOUN
cana-953	131	25	.	.	PUNCT
cana-953	132	1	ensuring	ensure	VERB
cana-953	132	2	that	that	SCONJ
cana-953	132	3	the	the	DET
cana-953	132	4	system	system	NOUN
cana-953	132	5	returns	return	VERB
cana-953	132	6	to	to	ADP
cana-953	132	7	normal	normal	ADJ
cana-953	132	8	operation	operation	NOUN
cana-953	132	9	after	after	SCONJ
cana-953	132	10	addressing	address	VERB
cana-953	132	11	anomalies	anomaly	NOUN
cana-953	132	12	is	be	AUX
cana-953	132	13	critical	critical	ADJ
cana-953	132	14	.	.	PUNCT
cana-953	133	1	this	this	PRON
cana-953	133	2	is	be	AUX
cana-953	133	3	described	describe	VERB
cana-953	133	4	by	by	ADP
cana-953	133	5	the	the	DET
cana-953	133	6	timestamp	timestamp	NOUN
cana-953	133	7	decay	decay	NOUN
cana-953	133	8	function	function	NOUN
cana-953	133	9	of	of	ADP
cana-953	133	10	the	the	DET
cana-953	133	11	adjustment	adjustment	NOUN
cana-953	133	12	,	,	PUNCT
cana-953	133	13	aiming	aim	VERB
cana-953	133	14	for	for	ADP
cana-953	133	15	the	the	DET
cana-953	133	16	anomaly	anomaly	NOUN
cana-953	133	17	response	response	NOUN
cana-953	133	18	to	to	PART
cana-953	133	19	diminish	diminish	VERB
cana-953	133	20	as	as	SCONJ
cana-953	133	21	the	the	DET
cana-953	133	22	system	system	NOUN
cana-953	133	23	stabilizes	stabilize	VERB
cana-953	133	24	,	,	PUNCT
cana-953	133	25	via	via	ADP
cana-953	133	26	equation12	equation12	NOUN
cana-953	133	27	,	,	PUNCT
cana-953	133	28	𝑙𝑖𝑚𝑡→∞𝛿(𝑎𝑡	𝑙𝑖𝑚𝑡→∞𝛿(𝑎𝑡	PROPN
cana-953	133	29	)	)	PUNCT
cana-953	134	1	=	=	SYM
cana-953	134	2	0	0	NUM
cana-953	134	3	…	…	PUNCT
cana-953	134	4	(	(	PUNCT
cana-953	134	5	12	12	NUM
cana-953	134	6	)	)	PUNCT
cana-953	134	7	this	this	DET
cana-953	134	8	operation	operation	NOUN
cana-953	134	9	ensures	ensure	VERB
cana-953	134	10	that	that	SCONJ
cana-953	134	11	the	the	DET
cana-953	134	12	system	system	NOUN
cana-953	134	13	’s	’s	PART
cana-953	134	14	adaptive	adaptive	ADJ
cana-953	134	15	responses	response	NOUN
cana-953	134	16	are	be	AUX
cana-953	134	17	temporary	temporary	ADJ
cana-953	134	18	and	and	CCONJ
cana-953	134	19	proportional	proportional	ADJ
cana-953	134	20	to	to	ADP
cana-953	134	21	the	the	DET
cana-953	134	22	detected	detect	VERB
cana-953	134	23	anomalies	anomaly	NOUN
cana-953	134	24	,	,	PUNCT
cana-953	134	25	thereby	thereby	ADV
cana-953	134	26	preventing	prevent	VERB
cana-953	134	27	overcompensation	overcompensation	NOUN
cana-953	134	28	and	and	CCONJ
cana-953	134	29	maintaining	maintain	VERB
cana-953	134	30	overall	overall	ADJ
cana-953	134	31	system	system	NOUN
cana-953	134	32	efficiency	efficiency	NOUN
cana-953	134	33	.	.	PUNCT
cana-953	135	1	adas	adas	PROPN
cana-953	135	2	's	's	PART
cana-953	135	3	capability	capability	NOUN
cana-953	135	4	to	to	PART
cana-953	135	5	dynamically	dynamically	ADV
cana-953	135	6	adjust	adjust	VERB
cana-953	135	7	resource	resource	NOUN
cana-953	135	8	allocation	allocation	NOUN
cana-953	135	9	in	in	ADP
cana-953	135	10	real	real	ADJ
cana-953	135	11	-	-	PUNCT
cana-953	135	12	time	time	NOUN
cana-953	135	13	provides	provide	VERB
cana-953	135	14	a	a	DET
cana-953	135	15	crucial	crucial	ADJ
cana-953	135	16	layer	layer	NOUN
cana-953	135	17	of	of	ADP
cana-953	135	18	adaptability	adaptability	NOUN
cana-953	135	19	within	within	ADP
cana-953	135	20	the	the	DET
cana-953	135	21	scheduling	scheduling	NOUN
cana-953	135	22	framework	framework	NOUN
cana-953	135	23	.	.	PUNCT
cana-953	136	1	by	by	ADP
cana-953	136	2	effectively	effectively	ADV
cana-953	136	3	responding	respond	VERB
cana-953	136	4	to	to	ADP
cana-953	136	5	anomalies	anomaly	NOUN
cana-953	136	6	,	,	PUNCT
cana-953	136	7	adas	adas	PROPN
cana-953	136	8	ensures	ensure	VERB
cana-953	136	9	that	that	SCONJ
cana-953	136	10	critical	critical	ADJ
cana-953	136	11	jobs	job	NOUN
cana-953	136	12	are	be	AUX
cana-953	136	13	prioritized	prioritize	VERB
cana-953	136	14	without	without	ADP
cana-953	136	15	sacrificing	sacrifice	VERB
cana-953	136	16	the	the	DET
cana-953	136	17	overall	overall	ADJ
cana-953	136	18	system	system	NOUN
cana-953	136	19	performance	performance	NOUN
cana-953	136	20	,	,	PUNCT
cana-953	136	21	thus	thus	ADV
cana-953	136	22	complementing	complement	VERB
cana-953	136	23	the	the	DET
cana-953	136	24	continuous	continuous	ADJ
cana-953	136	25	learning	learning	NOUN
cana-953	136	26	and	and	CCONJ
cana-953	136	27	optimization	optimization	NOUN
cana-953	136	28	processes	process	NOUN
cana-953	136	29	of	of	ADP
cana-953	136	30	models	model	NOUN
cana-953	136	31	like	like	ADP
cana-953	136	32	drdjs	drdjs	NOUN
cana-953	136	33	.	.	PUNCT
cana-953	137	1	together	together	ADV
cana-953	137	2	,	,	PUNCT
cana-953	137	3	these	these	DET
cana-953	137	4	models	model	NOUN
cana-953	137	5	enhance	enhance	VERB
cana-953	137	6	the	the	DET
cana-953	137	7	robustness	robustness	NOUN
cana-953	137	8	and	and	CCONJ
cana-953	137	9	efficiency	efficiency	NOUN
cana-953	137	10	of	of	ADP
cana-953	137	11	job	job	NOUN
cana-953	137	12	scheduling	scheduling	NOUN
cana-953	137	13	in	in	ADP
cana-953	137	14	distributed	distribute	VERB
cana-953	137	15	computing	computing	NOUN
cana-953	137	16	environments	environment	NOUN
cana-953	137	17	,	,	PUNCT
cana-953	137	18	addressing	address	VERB
cana-953	137	19	both	both	DET
cana-953	137	20	expected	expect	VERB
cana-953	137	21	and	and	CCONJ
cana-953	137	22	unexpected	unexpected	ADJ
cana-953	137	23	variations	variation	NOUN
cana-953	137	24	in	in	ADP
cana-953	137	25	workload	workload	NOUN
cana-953	137	26	and	and	CCONJ
cana-953	137	27	system	system	NOUN
cana-953	137	28	performance	performance	NOUN
cana-953	137	29	.	.	PUNCT
cana-953	138	1	finally	finally	ADV
cana-953	138	2	,	,	PUNCT
cana-953	138	3	the	the	DET
cana-953	138	4	cluster	cluster	NOUN
cana-953	138	5	-	-	PUNCT
cana-953	138	6	based	base	VERB
cana-953	138	7	job	job	NOUN
cana-953	138	8	categorization	categorization	NOUN
cana-953	138	9	and	and	CCONJ
cana-953	138	10	scheduling	scheduling	NOUN
cana-953	138	11	(	(	PUNCT
cana-953	138	12	cjcs	cjcs	NOUN
cana-953	138	13	)	)	PUNCT
cana-953	138	14	model	model	NOUN
cana-953	138	15	is	be	AUX
cana-953	138	16	integrated	integrate	VERB
cana-953	138	17	,	,	PUNCT
cana-953	138	18	which	which	PRON
cana-953	138	19	represents	represent	VERB
cana-953	138	20	a	a	DET
cana-953	138	21	significant	significant	ADJ
cana-953	138	22	evolution	evolution	NOUN
cana-953	138	23	in	in	ADP
cana-953	138	24	resource	resource	NOUN
cana-953	138	25	allocation	allocation	NOUN
cana-953	138	26	strategies	strategy	NOUN
cana-953	138	27	within	within	ADP
cana-953	138	28	distributed	distribute	VERB
cana-953	138	29	computing	computing	NOUN
cana-953	138	30	environments	environment	NOUN
cana-953	138	31	like	like	ADP
cana-953	138	32	mapreduce	mapreduce	PROPN
cana-953	138	33	.	.	PUNCT
cana-953	139	1	this	this	DET
cana-953	139	2	model	model	NOUN
cana-953	139	3	employs	employ	VERB
cana-953	139	4	advanced	advanced	ADJ
cana-953	139	5	clustering	clustering	ADJ
cana-953	139	6	algorithms	algorithm	NOUN
cana-953	139	7	to	to	PART
cana-953	139	8	categorize	categorize	VERB
cana-953	139	9	jobs	job	NOUN
cana-953	139	10	into	into	ADP
cana-953	139	11	distinct	distinct	ADJ
cana-953	139	12	clusters	cluster	NOUN
cana-953	139	13	based	base	VERB
cana-953	139	14	on	on	ADP
cana-953	139	15	similar	similar	ADJ
cana-953	139	16	characteristics	characteristic	NOUN
cana-953	139	17	such	such	ADJ
cana-953	139	18	as	as	ADP
cana-953	139	19	resource	resource	NOUN
cana-953	139	20	requirements	requirement	NOUN
cana-953	139	21	,	,	PUNCT
cana-953	139	22	expected	expect	VERB
cana-953	139	23	execution	execution	NOUN
cana-953	139	24	delays	delay	NOUN
cana-953	139	25	,	,	PUNCT
cana-953	139	26	and	and	CCONJ
cana-953	139	27	interdependency	interdependency	NOUN
cana-953	139	28	scores	score	NOUN
cana-953	139	29	.	.	PUNCT
cana-953	140	1	by	by	ADP
cana-953	140	2	segmenting	segment	VERB
cana-953	140	3	jobs	job	NOUN
cana-953	140	4	in	in	ADP
cana-953	140	5	this	this	DET
cana-953	140	6	manner	manner	NOUN
cana-953	140	7	,	,	PUNCT
cana-953	140	8	cjcs	cjc	NOUN
cana-953	140	9	enables	enable	VERB
cana-953	140	10	the	the	DET
cana-953	140	11	development	development	NOUN
cana-953	140	12	of	of	ADP
cana-953	140	13	targeted	target	VERB
cana-953	140	14	scheduling	scheduling	NOUN
cana-953	140	15	policies	policy	NOUN
cana-953	140	16	that	that	PRON
cana-953	140	17	optimize	optimize	VERB
cana-953	140	18	resource	resource	NOUN
cana-953	140	19	allocation	allocation	NOUN
cana-953	140	20	for	for	ADP
cana-953	140	21	each	each	DET
cana-953	140	22	category	category	NOUN
cana-953	140	23	,	,	PUNCT
cana-953	140	24	thus	thus	ADV
cana-953	140	25	enhancing	enhance	VERB
cana-953	140	26	the	the	DET
cana-953	140	27	overall	overall	ADJ
cana-953	140	28	efficiency	efficiency	NOUN
cana-953	140	29	and	and	CCONJ
cana-953	140	30	throughput	throughput	NOUN
cana-953	140	31	of	of	ADP
cana-953	140	32	the	the	DET
cana-953	140	33	system	system	NOUN
cana-953	140	34	.	.	PUNCT
cana-953	141	1	the	the	DET
cana-953	141	2	choice	choice	NOUN
cana-953	141	3	of	of	ADP
cana-953	141	4	cjcs	cjcs	NOUN
cana-953	141	5	is	be	AUX
cana-953	141	6	justified	justify	VERB
cana-953	141	7	by	by	ADP
cana-953	141	8	its	its	PRON
cana-953	141	9	capacity	capacity	NOUN
cana-953	141	10	to	to	PART
cana-953	141	11	manage	manage	VERB
cana-953	141	12	the	the	DET
cana-953	141	13	diversity	diversity	NOUN
cana-953	141	14	of	of	ADP
cana-953	141	15	job	job	NOUN
cana-953	141	16	types	type	NOUN
cana-953	141	17	effectively	effectively	ADV
cana-953	141	18	within	within	ADP
cana-953	141	19	a	a	DET
cana-953	141	20	heterogeneous	heterogeneous	ADJ
cana-953	141	21	environment	environment	NOUN
cana-953	141	22	.	.	PUNCT
cana-953	142	1	unlike	unlike	ADP
cana-953	142	2	generic	generic	ADJ
cana-953	142	3	scheduling	scheduling	NOUN
cana-953	142	4	solutions	solution	NOUN
cana-953	142	5	that	that	PRON
cana-953	142	6	treat	treat	VERB
cana-953	142	7	all	all	DET
cana-953	142	8	jobs	job	NOUN
cana-953	142	9	as	as	ADP
cana-953	142	10	uniform	uniform	ADJ
cana-953	142	11	tasks	task	NOUN
cana-953	142	12	,	,	PUNCT
cana-953	142	13	cjcs	cjc	NOUN
cana-953	142	14	recognizes	recognize	VERB
cana-953	142	15	and	and	CCONJ
cana-953	142	16	strategically	strategically	ADV
cana-953	142	17	manages	manage	VERB
cana-953	142	18	the	the	DET
cana-953	142	19	unique	unique	ADJ
cana-953	142	20	requirements	requirement	NOUN
cana-953	142	21	of	of	ADP
cana-953	142	22	different	different	ADJ
cana-953	142	23	job	job	NOUN
cana-953	142	24	categories	category	NOUN
cana-953	142	25	,	,	PUNCT
cana-953	142	26	significantly	significantly	ADV
cana-953	142	27	reducing	reduce	VERB
cana-953	142	28	resource	resource	NOUN
cana-953	142	29	contention	contention	NOUN
cana-953	142	30	and	and	CCONJ
cana-953	142	31	job	job	NOUN
cana-953	142	32	completion	completion	NOUN
cana-953	142	33	delays	delay	NOUN
cana-953	142	34	.	.	PUNCT
cana-953	143	1	this	this	DET
cana-953	143	2	approach	approach	NOUN
cana-953	143	3	complements	complement	VERB
cana-953	143	4	the	the	DET
cana-953	143	5	dynamic	dynamic	ADJ
cana-953	143	6	adaptability	adaptability	NOUN
cana-953	143	7	of	of	ADP
cana-953	143	8	models	model	NOUN
cana-953	143	9	like	like	ADP
cana-953	143	10	drdjs	drdjs	NOUN
cana-953	143	11	and	and	CCONJ
cana-953	143	12	the	the	DET
cana-953	143	13	responsive	responsive	ADJ
cana-953	143	14	capabilities	capability	NOUN
cana-953	143	15	of	of	ADP
cana-953	143	16	adas	adas	PROPN
cana-953	143	17	by	by	ADP
cana-953	143	18	providing	provide	VERB
cana-953	143	19	a	a	DET
cana-953	143	20	structured	structured	ADJ
cana-953	143	21	yet	yet	CCONJ
cana-953	143	22	flexible	flexible	ADJ
cana-953	143	23	framework	framework	NOUN
cana-953	143	24	that	that	PRON
cana-953	143	25	further	far	ADV
cana-953	143	26	refines	refine	VERB
cana-953	143	27	resource	resource	NOUN
cana-953	143	28	allocation	allocation	NOUN
cana-953	143	29	and	and	CCONJ
cana-953	143	30	job	job	NOUN
cana-953	143	31	prioritization	prioritization	NOUN
cana-953	143	32	based	base	VERB
cana-953	143	33	on	on	ADP
cana-953	143	34	categorized	categorize	VERB
cana-953	143	35	needs	need	NOUN
cana-953	143	36	.	.	PUNCT
cana-953	144	1	communications	communication	NOUN
cana-953	144	2	on	on	ADP
cana-953	144	3	applied	apply	VERB
cana-953	144	4	nonlinear	nonlinear	ADJ
cana-953	144	5	analysis	analysis	NOUN
cana-953	144	6	issn	issn	NOUN
cana-953	144	7	:	:	PUNCT
cana-953	144	8	1074	1074	NUM
cana-953	144	9	-	-	PUNCT
cana-953	144	10	133x	133x	NUM
cana-953	144	11	vol	vol	NOUN
cana-953	144	12	31	31	NUM
cana-953	144	13	no	no	NOUN
cana-953	144	14	.	.	PUNCT
cana-953	145	1	4s	4s	NUM
cana-953	145	2	(	(	PUNCT
cana-953	145	3	2024	2024	NUM
cana-953	145	4	)	)	PUNCT
cana-953	145	5	609	609	NUM
cana-953	145	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	145	7	each	each	DET
cana-953	145	8	job	job	NOUN
cana-953	145	9	𝑗	𝑗	VERB
cana-953	145	10	is	be	AUX
cana-953	145	11	represented	represent	VERB
cana-953	145	12	by	by	ADP
cana-953	145	13	a	a	DET
cana-953	145	14	vector	vector	NOUN
cana-953	145	15	of	of	ADP
cana-953	145	16	features	feature	NOUN
cana-953	145	17	𝑣𝑗	𝑣𝑗	ADP
cana-953	145	18	,	,	PUNCT
cana-953	145	19	which	which	PRON
cana-953	145	20	includes	include	VERB
cana-953	145	21	metrics	metric	NOUN
cana-953	145	22	such	such	ADJ
cana-953	145	23	as	as	ADP
cana-953	145	24	cpu	cpu	NOUN
cana-953	145	25	requirements	requirement	NOUN
cana-953	145	26	,	,	PUNCT
cana-953	145	27	memory	memory	NOUN
cana-953	145	28	needs	need	NOUN
cana-953	145	29	,	,	PUNCT
cana-953	145	30	expected	expect	VERB
cana-953	145	31	runtime	runtime	NOUN
cana-953	145	32	,	,	PUNCT
cana-953	145	33	and	and	CCONJ
cana-953	145	34	priority	priority	NOUN
cana-953	145	35	,	,	PUNCT
cana-953	145	36	via	via	ADP
cana-953	145	37	equation	equation	NOUN
cana-953	145	38	13	13	NUM
cana-953	145	39	,	,	PUNCT
cana-953	145	40	𝑣𝑗	𝑣𝑗	ADP
cana-953	145	41	=	=	SYM
cana-953	145	42	(	(	PUNCT
cana-953	145	43	𝑐𝑗	𝑐𝑗	INTJ
cana-953	145	44	,	,	PUNCT
cana-953	145	45	𝑚𝑗	𝑚𝑗	NOUN
cana-953	145	46	,	,	PUNCT
cana-953	145	47	𝑡𝑗	𝑡𝑗	PROPN
cana-953	145	48	,	,	PUNCT
cana-953	145	49	𝑝𝑗	𝑝𝑗	NOUN
cana-953	145	50	)	)	PUNCT
cana-953	145	51	…	…	PUNCT
cana-953	145	52	(	(	PUNCT
cana-953	145	53	13	13	NUM
cana-953	145	54	)	)	PUNCT
cana-953	145	55	where	where	SCONJ
cana-953	145	56	,	,	PUNCT
cana-953	145	57	𝑐𝑗	𝑐𝑗	INTJ
cana-953	145	58	,	,	PUNCT
cana-953	145	59	𝑚𝑗	𝑚𝑗	NOUN
cana-953	145	60	,	,	PUNCT
cana-953	145	61	𝑡𝑗	𝑡𝑗	PROPN
cana-953	145	62	,	,	PUNCT
cana-953	145	63	and	and	CCONJ
cana-953	145	64	𝑝𝑗	𝑝𝑗	PROPN
cana-953	145	65	represent	represent	VERB
cana-953	145	66	cpu	cpu	NOUN
cana-953	145	67	,	,	PUNCT
cana-953	145	68	memory	memory	NOUN
cana-953	145	69	,	,	PUNCT
cana-953	145	70	delay	delay	NOUN
cana-953	145	71	,	,	PUNCT
cana-953	145	72	and	and	CCONJ
cana-953	145	73	priority	priority	NOUN
cana-953	145	74	requirements	requirement	NOUN
cana-953	145	75	respectively	respectively	ADV
cana-953	145	76	.	.	PUNCT
cana-953	146	1	the	the	DET
cana-953	146	2	jobs	job	NOUN
cana-953	146	3	are	be	AUX
cana-953	146	4	grouped	group	VERB
cana-953	146	5	using	use	VERB
cana-953	146	6	a	a	DET
cana-953	146	7	clustering	clustering	ADJ
cana-953	146	8	algorithm	algorithm	NOUN
cana-953	146	9	,	,	PUNCT
cana-953	146	10	typically	typically	ADV
cana-953	146	11	k	k	NOUN
cana-953	146	12	-	-	PUNCT
cana-953	146	13	means	mean	NOUN
cana-953	146	14	,	,	PUNCT
cana-953	146	15	based	base	VERB
cana-953	146	16	on	on	ADP
cana-953	146	17	their	their	PRON
cana-953	146	18	feature	feature	NOUN
cana-953	146	19	vector	vector	NOUN
cana-953	146	20	sets	set	NOUN
cana-953	146	21	.	.	PUNCT
cana-953	147	1	the	the	DET
cana-953	147	2	objective	objective	ADJ
cana-953	147	3	function	function	NOUN
cana-953	147	4	for	for	ADP
cana-953	147	5	clustering	clustering	NOUN
cana-953	147	6	,	,	PUNCT
cana-953	147	7	which	which	PRON
cana-953	147	8	aims	aim	VERB
cana-953	147	9	to	to	PART
cana-953	147	10	minimize	minimize	VERB
cana-953	147	11	the	the	DET
cana-953	147	12	within	within	ADP
cana-953	147	13	-	-	PUNCT
cana-953	147	14	cluster	cluster	NOUN
cana-953	147	15	sum	sum	NOUN
cana-953	147	16	of	of	ADP
cana-953	147	17	squares	square	NOUN
cana-953	147	18	,	,	PUNCT
cana-953	147	19	is	be	AUX
cana-953	147	20	given	give	VERB
cana-953	147	21	via	via	ADP
cana-953	147	22	equation	equation	NOUN
cana-953	147	23	14	14	NUM
cana-953	147	24	,	,	PUNCT
cana-953	147	25	𝑔𝑐	𝑔𝑐	NOUN
cana-953	147	26	=	=	PUNCT
cana-953	147	27	𝑚𝑖𝑛	𝑚𝑖𝑛	NOUN
cana-953	147	28	∑	∑	PROPN
cana-953	147	29	∑	∑	PUNCT
cana-953	147	30	∥	∥	X
cana-953	147	31	𝑣𝑗	𝑣𝑗	ADP
cana-953	147	32	−	−	NOUN
cana-953	147	33	𝜇𝑘	𝜇𝑘	ADV
cana-953	147	34	∥2	∥2	NOUN
cana-953	147	35	…	…	PUNCT
cana-953	147	36	(	(	PUNCT
cana-953	147	37	14	14	NUM
cana-953	147	38	)	)	PUNCT
cana-953	147	39	𝑗∈𝑆𝑘	𝑗∈𝑆𝑘	PROPN
cana-953	147	40	𝐾	𝐾	PROPN
cana-953	148	1	𝑘=1	𝑘=1	PRON
cana-953	148	2	where	where	SCONJ
cana-953	148	3	,	,	PUNCT
cana-953	148	4	gc	gc	PROPN
cana-953	148	5	is	be	AUX
cana-953	148	6	the	the	DET
cana-953	148	7	grouping	group	VERB
cana-953	148	8	criteria	criterion	NOUN
cana-953	149	1	,	,	PUNCT
cana-953	149	2	𝑆𝑘	𝑆𝑘	PROPN
cana-953	149	3	represents	represent	VERB
cana-953	149	4	the	the	DET
cana-953	149	5	set	set	NOUN
cana-953	149	6	of	of	ADP
cana-953	149	7	jobs	job	NOUN
cana-953	149	8	in	in	ADP
cana-953	149	9	cluster	cluster	NOUN
cana-953	149	10	𝑘	𝑘	NOUN
cana-953	149	11	and	and	CCONJ
cana-953	149	12	𝜇𝑘	𝜇𝑘	NOUN
cana-953	149	13	is	be	AUX
cana-953	149	14	the	the	DET
cana-953	149	15	centroid	centroid	NOUN
cana-953	149	16	of	of	ADP
cana-953	149	17	cluster	cluster	NOUN
cana-953	149	18	𝑘	𝑘	PRON
cana-953	149	19	sets	set	NOUN
cana-953	149	20	.	.	PUNCT
cana-953	150	1	resource	resource	NOUN
cana-953	150	2	allocation	allocation	NOUN
cana-953	150	3	for	for	ADP
cana-953	150	4	each	each	DET
cana-953	150	5	job	job	NOUN
cana-953	150	6	is	be	AUX
cana-953	150	7	determined	determine	VERB
cana-953	150	8	based	base	VERB
cana-953	150	9	on	on	ADP
cana-953	150	10	its	its	PRON
cana-953	150	11	cluster	cluster	NOUN
cana-953	150	12	membership	membership	NOUN
cana-953	150	13	,	,	PUNCT
cana-953	150	14	and	and	CCONJ
cana-953	150	15	is	be	AUX
cana-953	150	16	expressed	express	VERB
cana-953	150	17	via	via	ADP
cana-953	150	18	equation	equation	NOUN
cana-953	150	19	15	15	NUM
cana-953	150	20	,	,	PUNCT
cana-953	150	21	𝑅(𝑣𝑗	𝑅(𝑣𝑗	X
cana-953	150	22	)	)	PUNCT
cana-953	151	1	=	=	PUNCT
cana-953	151	2	𝛼𝑘	𝛼𝑘	NOUN
cana-953	151	3	⋅	⋅	X
cana-953	151	4	𝑣𝑗	𝑣𝑗	ADP
cana-953	151	5	…	…	PUNCT
cana-953	151	6	(	(	PUNCT
cana-953	151	7	15	15	NUM
cana-953	151	8	)	)	PUNCT
cana-953	151	9	where	where	SCONJ
cana-953	151	10	,	,	PUNCT
cana-953	151	11	𝛼𝑘	𝛼𝑘	PRON
cana-953	151	12	is	be	AUX
cana-953	151	13	a	a	DET
cana-953	151	14	scaling	scale	VERB
cana-953	151	15	factor	factor	NOUN
cana-953	151	16	derived	derive	VERB
cana-953	151	17	from	from	ADP
cana-953	151	18	the	the	DET
cana-953	151	19	cluster	cluster	NOUN
cana-953	151	20	characteristics	characteristic	NOUN
cana-953	151	21	,	,	PUNCT
cana-953	151	22	optimizing	optimize	VERB
cana-953	151	23	resource	resource	NOUN
cana-953	151	24	allocation	allocation	NOUN
cana-953	151	25	for	for	ADP
cana-953	151	26	the	the	DET
cana-953	151	27	cluster	cluster	NOUN
cana-953	151	28	.	.	PUNCT
cana-953	152	1	to	to	PART
cana-953	152	2	optimize	optimize	VERB
cana-953	152	3	𝛼𝑘	𝛼𝑘	ADP
cana-953	152	4	,	,	PUNCT
cana-953	152	5	the	the	DET
cana-953	152	6	derivative	derivative	NOUN
cana-953	152	7	of	of	ADP
cana-953	152	8	the	the	DET
cana-953	152	9	resource	resource	NOUN
cana-953	152	10	allocation	allocation	NOUN
cana-953	152	11	function	function	NOUN
cana-953	152	12	with	with	ADP
cana-953	152	13	respect	respect	NOUN
cana-953	152	14	to	to	ADP
cana-953	152	15	𝛼𝑘	𝛼𝑘	PRON
cana-953	152	16	is	be	AUX
cana-953	152	17	calculated	calculate	VERB
cana-953	152	18	,	,	PUNCT
cana-953	152	19	ensuring	ensure	VERB
cana-953	152	20	that	that	SCONJ
cana-953	152	21	changes	change	NOUN
cana-953	152	22	in	in	ADP
cana-953	152	23	allocation	allocation	NOUN
cana-953	152	24	are	be	AUX
cana-953	152	25	aligned	align	VERB
cana-953	152	26	with	with	ADP
cana-953	152	27	the	the	DET
cana-953	152	28	changes	change	NOUN
cana-953	152	29	in	in	ADP
cana-953	152	30	cluster	cluster	NOUN
cana-953	152	31	characteristics	characteristic	NOUN
cana-953	152	32	via	via	ADP
cana-953	152	33	equation	equation	NOUN
cana-953	152	34	16	16	NUM
cana-953	152	35	,	,	PUNCT
cana-953	152	36	figure	figure	NOUN
cana-953	152	37	2	2	NUM
cana-953	152	38	.	.	PUNCT
cana-953	152	39	overall	overall	ADJ
cana-953	152	40	flow	flow	NOUN
cana-953	152	41	of	of	ADP
cana-953	152	42	the	the	DET
cana-953	152	43	proposed	propose	VERB
cana-953	152	44	scheduling	scheduling	NOUN
cana-953	152	45	process	process	NOUN
cana-953	152	46	communications	communication	NOUN
cana-953	152	47	on	on	ADP
cana-953	152	48	applied	apply	VERB
cana-953	152	49	nonlinear	nonlinear	ADJ
cana-953	152	50	analysis	analysis	NOUN
cana-953	152	51	issn	issn	NOUN
cana-953	152	52	:	:	PUNCT
cana-953	152	53	1074	1074	NUM
cana-953	152	54	-	-	PUNCT
cana-953	152	55	133x	133x	NUM
cana-953	152	56	vol	vol	NOUN
cana-953	152	57	31	31	NUM
cana-953	152	58	no	no	NOUN
cana-953	152	59	.	.	PUNCT
cana-953	153	1	4s	4s	NUM
cana-953	153	2	(	(	PUNCT
cana-953	153	3	2024	2024	NUM
cana-953	153	4	)	)	PUNCT
cana-953	153	5	610	610	NUM
cana-953	154	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	154	2	𝜕𝑅	𝜕𝑅	X
cana-953	154	3	𝜕𝛼𝑘	𝜕𝛼𝑘	PUNCT
cana-953	154	4	=	=	SYM
cana-953	154	5	𝑣𝑗	𝑣𝑗	ADP
cana-953	154	6	…	…	PUNCT
cana-953	154	7	(	(	PUNCT
cana-953	154	8	16	16	NUM
cana-953	154	9	)	)	PUNCT
cana-953	154	10	next	next	ADV
cana-953	154	11	,	,	PUNCT
cana-953	154	12	the	the	DET
cana-953	154	13	total	total	ADJ
cana-953	154	14	resource	resource	NOUN
cana-953	154	15	usage	usage	NOUN
cana-953	154	16	for	for	ADP
cana-953	154	17	a	a	DET
cana-953	154	18	cluster	cluster	NOUN
cana-953	154	19	over	over	ADP
cana-953	154	20	a	a	DET
cana-953	154	21	scheduling	scheduling	NOUN
cana-953	154	22	period	period	NOUN
cana-953	154	23	𝑇	𝑇	PROPN
cana-953	154	24	is	be	AUX
cana-953	154	25	given	give	VERB
cana-953	154	26	via	via	ADP
cana-953	154	27	equation	equation	NOUN
cana-953	154	28	17	17	NUM
cana-953	154	29	,	,	PUNCT
cana-953	154	30	∫	∫	PROPN
cana-953	154	31	𝑅(𝑣𝑗(𝑡	𝑅(𝑣𝑗(𝑡	NOUN
cana-953	154	32	)	)	PUNCT
cana-953	154	33	)	)	PUNCT
cana-953	154	34	 	 	SPACE
cana-953	155	1	𝑑𝑡	𝑑𝑡	ADP
cana-953	155	2	=	=	SYM
cana-953	155	3	0	0	NUM
cana-953	155	4	𝑇	𝑇	PROPN
cana-953	155	5	0	0	NUM
cana-953	155	6	…	…	PUNCT
cana-953	155	7	(	(	PUNCT
cana-953	155	8	17	17	NUM
cana-953	155	9	)	)	PUNCT
cana-953	155	10	where	where	SCONJ
cana-953	155	11	,	,	PUNCT
cana-953	155	12	𝑣𝑗(𝑡	𝑣𝑗(𝑡	NOUN
cana-953	155	13	)	)	PUNCT
cana-953	155	14	represents	represent	VERB
cana-953	155	15	the	the	DET
cana-953	155	16	resource	resource	NOUN
cana-953	155	17	demand	demand	NOUN
cana-953	155	18	of	of	ADP
cana-953	155	19	job	job	NOUN
cana-953	155	20	𝑗	𝑗	INTJ
cana-953	155	21	at	at	ADP
cana-953	155	22	timestamp	timestamp	NOUN
cana-953	155	23	𝑡	𝑡	PROPN
cana-953	155	24	sets	set	NOUN
cana-953	155	25	.	.	PUNCT
cana-953	156	1	the	the	DET
cana-953	156	2	optimization	optimization	NOUN
cana-953	156	3	of	of	ADP
cana-953	156	4	clustering	cluster	VERB
cana-953	156	5	parameters	parameter	NOUN
cana-953	156	6	is	be	AUX
cana-953	156	7	critical	critical	ADJ
cana-953	156	8	for	for	ADP
cana-953	156	9	adapting	adapt	VERB
cana-953	156	10	to	to	ADP
cana-953	156	11	changes	change	NOUN
cana-953	156	12	in	in	ADP
cana-953	156	13	job	job	NOUN
cana-953	156	14	characteristics	characteristic	NOUN
cana-953	156	15	over	over	ADP
cana-953	156	16	temporal	temporal	ADJ
cana-953	156	17	instance	instance	NOUN
cana-953	156	18	sets	set	NOUN
cana-953	156	19	.	.	PUNCT
cana-953	157	1	this	this	PRON
cana-953	157	2	is	be	AUX
cana-953	157	3	governed	govern	VERB
cana-953	157	4	via	via	ADP
cana-953	157	5	equation	equation	NOUN
cana-953	157	6	18	18	NUM
cana-953	157	7	,	,	PUNCT
cana-953	157	8	𝑑𝜇𝑘	𝑑𝜇𝑘	NOUN
cana-953	157	9	𝑑𝑡	𝑑𝑡	ADP
cana-953	157	10	=	=	PUNCT
cana-953	157	11	𝜂	𝜂	PROPN
cana-953	157	12	∑	∑	PUNCT
cana-953	157	13	(	(	PUNCT
cana-953	157	14	𝑣𝑗	𝑣𝑗	ADP
cana-953	157	15	−	−	NOUN
cana-953	157	16	𝜇𝑘	𝜇𝑘	ADJ
cana-953	157	17	)	)	PUNCT
cana-953	157	18	𝑗∈𝑆𝑘	𝑗∈𝑆𝑘	PROPN
cana-953	157	19	…	…	PUNCT
cana-953	157	20	(	(	PUNCT
cana-953	157	21	18	18	NUM
cana-953	157	22	)	)	PUNCT
cana-953	157	23	where	where	SCONJ
cana-953	157	24	,	,	PUNCT
cana-953	157	25	𝜂	𝜂	PROPN
cana-953	157	26	is	be	AUX
cana-953	157	27	the	the	DET
cana-953	157	28	learning	learning	NOUN
cana-953	157	29	rate	rate	NOUN
cana-953	157	30	,	,	PUNCT
cana-953	157	31	facilitating	facilitate	VERB
cana-953	157	32	the	the	DET
cana-953	157	33	dynamic	dynamic	ADJ
cana-953	157	34	adjustment	adjustment	NOUN
cana-953	157	35	of	of	ADP
cana-953	157	36	cluster	cluster	NOUN
cana-953	157	37	centroids	centroid	NOUN
cana-953	157	38	based	base	VERB
cana-953	157	39	on	on	ADP
cana-953	157	40	incoming	incoming	ADJ
cana-953	157	41	jobs	job	NOUN
cana-953	157	42	.	.	PUNCT
cana-953	158	1	cjcs	cjc	NOUN
cana-953	158	2	significantly	significantly	ADV
cana-953	158	3	enhances	enhance	VERB
cana-953	158	4	the	the	DET
cana-953	158	5	precision	precision	NOUN
cana-953	158	6	of	of	ADP
cana-953	158	7	resource	resource	NOUN
cana-953	158	8	allocation	allocation	NOUN
cana-953	158	9	by	by	ADP
cana-953	158	10	tailoring	tailor	VERB
cana-953	158	11	scheduling	scheduling	NOUN
cana-953	158	12	decisions	decision	NOUN
cana-953	158	13	to	to	ADP
cana-953	158	14	the	the	DET
cana-953	158	15	specific	specific	ADJ
cana-953	158	16	needs	need	NOUN
cana-953	158	17	of	of	ADP
cana-953	158	18	job	job	NOUN
cana-953	158	19	clusters	cluster	NOUN
cana-953	158	20	,	,	PUNCT
cana-953	158	21	reducing	reduce	VERB
cana-953	158	22	competition	competition	NOUN
cana-953	158	23	for	for	ADP
cana-953	158	24	resources	resource	NOUN
cana-953	158	25	and	and	CCONJ
cana-953	158	26	enabling	enable	VERB
cana-953	158	27	more	more	ADV
cana-953	158	28	effective	effective	ADJ
cana-953	158	29	use	use	NOUN
cana-953	158	30	of	of	ADP
cana-953	158	31	the	the	DET
cana-953	158	32	computing	compute	VERB
cana-953	158	33	infrastructure	infrastructure	NOUN
cana-953	158	34	deployments	deployment	NOUN
cana-953	158	35	.	.	PUNCT
cana-953	159	1	by	by	ADP
cana-953	159	2	integrating	integrate	VERB
cana-953	159	3	this	this	DET
cana-953	159	4	model	model	NOUN
cana-953	159	5	with	with	ADP
cana-953	159	6	drdjs	drdjs	PROPN
cana-953	159	7	and	and	CCONJ
cana-953	159	8	adas	adas	PROPN
cana-953	159	9	,	,	PUNCT
cana-953	159	10	the	the	DET
cana-953	159	11	overall	overall	ADJ
cana-953	159	12	scheduling	scheduling	NOUN
cana-953	159	13	framework	framework	NOUN
cana-953	159	14	becomes	become	VERB
cana-953	159	15	highly	highly	ADV
cana-953	159	16	robust	robust	ADJ
cana-953	159	17	,	,	PUNCT
cana-953	159	18	capable	capable	ADJ
cana-953	159	19	of	of	ADP
cana-953	159	20	dynamically	dynamically	ADV
cana-953	159	21	adapting	adapt	VERB
cana-953	159	22	to	to	ADP
cana-953	159	23	varying	vary	VERB
cana-953	159	24	job	job	NOUN
cana-953	159	25	demands	demand	NOUN
cana-953	159	26	and	and	CCONJ
cana-953	159	27	system	system	NOUN
cana-953	159	28	conditions	condition	NOUN
cana-953	159	29	,	,	PUNCT
cana-953	159	30	and	and	CCONJ
cana-953	159	31	efficiently	efficiently	ADV
cana-953	159	32	managing	manage	VERB
cana-953	159	33	resources	resource	NOUN
cana-953	159	34	across	across	ADP
cana-953	159	35	a	a	DET
cana-953	159	36	broad	broad	ADJ
cana-953	159	37	spectrum	spectrum	NOUN
cana-953	159	38	of	of	ADP
cana-953	159	39	tasks	task	NOUN
cana-953	159	40	,	,	PUNCT
cana-953	159	41	ensuring	ensure	VERB
cana-953	159	42	optimal	optimal	ADJ
cana-953	159	43	performance	performance	NOUN
cana-953	159	44	and	and	CCONJ
cana-953	159	45	reduced	reduce	VERB
cana-953	159	46	job	job	NOUN
cana-953	159	47	completion	completion	NOUN
cana-953	159	48	times	time	NOUN
cana-953	159	49	in	in	ADP
cana-953	159	50	complex	complex	ADJ
cana-953	159	51	distributed	distribute	VERB
cana-953	159	52	computing	computing	NOUN
cana-953	159	53	environments	environment	NOUN
cana-953	159	54	.	.	PUNCT
cana-953	160	1	next	next	ADV
cana-953	160	2	,	,	PUNCT
cana-953	160	3	we	we	PRON
cana-953	160	4	discuss	discuss	VERB
cana-953	160	5	efficiency	efficiency	NOUN
cana-953	160	6	of	of	ADP
cana-953	160	7	the	the	DET
cana-953	160	8	proposed	propose	VERB
cana-953	160	9	model	model	NOUN
cana-953	160	10	in	in	ADP
cana-953	160	11	terms	term	NOUN
cana-953	160	12	of	of	ADP
cana-953	160	13	different	different	ADJ
cana-953	160	14	scenarios	scenario	NOUN
cana-953	160	15	,	,	PUNCT
cana-953	160	16	and	and	CCONJ
cana-953	160	17	compare	compare	VERB
cana-953	160	18	it	it	PRON
cana-953	160	19	with	with	ADP
cana-953	160	20	existing	exist	VERB
cana-953	160	21	methods	method	NOUN
cana-953	160	22	,	,	PUNCT
cana-953	160	23	which	which	PRON
cana-953	160	24	will	will	AUX
cana-953	160	25	assist	assist	VERB
cana-953	160	26	readers	reader	NOUN
cana-953	160	27	to	to	PART
cana-953	160	28	evaluate	evaluate	VERB
cana-953	160	29	its	its	PRON
cana-953	160	30	performance	performance	NOUN
cana-953	160	31	in	in	ADP
cana-953	160	32	real	real	ADJ
cana-953	160	33	-	-	PUNCT
cana-953	160	34	time	time	NOUN
cana-953	160	35	deployments	deployment	NOUN
cana-953	160	36	.	.	PUNCT
cana-953	161	1	4	4	X
cana-953	161	2	.	.	X
cana-953	161	3	comparative	comparative	ADJ
cana-953	161	4	result	result	NOUN
cana-953	161	5	analysis	analysis	NOUN
cana-953	161	6	to	to	PART
cana-953	161	7	evaluate	evaluate	VERB
cana-953	161	8	the	the	DET
cana-953	161	9	performance	performance	NOUN
cana-953	161	10	and	and	CCONJ
cana-953	161	11	robustness	robustness	NOUN
cana-953	161	12	of	of	ADP
cana-953	161	13	the	the	DET
cana-953	161	14	proposed	propose	VERB
cana-953	161	15	scheduling	scheduling	NOUN
cana-953	161	16	framework	framework	NOUN
cana-953	161	17	,	,	PUNCT
cana-953	161	18	which	which	PRON
cana-953	161	19	includes	include	VERB
cana-953	161	20	deep	deep	ADJ
cana-953	161	21	reinforcement	reinforcement	NOUN
cana-953	161	22	learning	learning	NOUN
cana-953	161	23	for	for	ADP
cana-953	161	24	dynamic	dynamic	ADJ
cana-953	161	25	job	job	NOUN
cana-953	161	26	scheduling	scheduling	NOUN
cana-953	161	27	(	(	PUNCT
cana-953	161	28	drdjs	drdjs	NOUN
cana-953	161	29	)	)	PUNCT
cana-953	161	30	,	,	PUNCT
cana-953	161	31	anomaly	anomaly	NOUN
cana-953	161	32	detection	detection	NOUN
cana-953	161	33	-	-	PUNCT
cana-953	161	34	driven	drive	VERB
cana-953	161	35	adaptive	adaptive	ADJ
cana-953	161	36	scheduling	scheduling	NOUN
cana-953	161	37	(	(	PUNCT
cana-953	161	38	adas	adas	PROPN
cana-953	161	39	)	)	PUNCT
cana-953	161	40	,	,	PUNCT
cana-953	161	41	and	and	CCONJ
cana-953	161	42	cluster	cluster	NOUN
cana-953	161	43	-	-	PUNCT
cana-953	161	44	based	base	VERB
cana-953	161	45	job	job	NOUN
cana-953	161	46	categorization	categorization	NOUN
cana-953	161	47	and	and	CCONJ
cana-953	161	48	scheduling	scheduling	NOUN
cana-953	161	49	(	(	PUNCT
cana-953	161	50	cjcs	cjcs	NOUN
cana-953	161	51	)	)	PUNCT
cana-953	161	52	,	,	PUNCT
cana-953	161	53	a	a	DET
cana-953	161	54	comprehensive	comprehensive	ADJ
cana-953	161	55	experimental	experimental	ADJ
cana-953	161	56	setup	setup	NOUN
cana-953	161	57	was	be	AUX
cana-953	161	58	designed	design	VERB
cana-953	161	59	.	.	PUNCT
cana-953	162	1	this	this	DET
cana-953	162	2	setup	setup	NOUN
cana-953	162	3	aims	aim	VERB
cana-953	162	4	to	to	PART
cana-953	162	5	simulate	simulate	VERB
cana-953	162	6	real	real	ADJ
cana-953	162	7	-	-	PUNCT
cana-953	162	8	world	world	NOUN
cana-953	162	9	conditions	condition	NOUN
cana-953	162	10	in	in	ADP
cana-953	162	11	a	a	DET
cana-953	162	12	controlled	control	VERB
cana-953	162	13	environment	environment	NOUN
cana-953	162	14	to	to	PART
cana-953	162	15	provide	provide	VERB
cana-953	162	16	a	a	DET
cana-953	162	17	detailed	detailed	ADJ
cana-953	162	18	analysis	analysis	NOUN
cana-953	162	19	of	of	ADP
cana-953	162	20	each	each	DET
cana-953	162	21	component	component	NOUN
cana-953	162	22	's	's	PART
cana-953	162	23	effectiveness	effectiveness	NOUN
cana-953	162	24	and	and	CCONJ
cana-953	162	25	the	the	DET
cana-953	162	26	integrated	integrated	ADJ
cana-953	162	27	operation	operation	NOUN
cana-953	162	28	of	of	ADP
cana-953	162	29	the	the	DET
cana-953	162	30	entire	entire	ADJ
cana-953	162	31	system	system	NOUN
cana-953	162	32	.	.	PUNCT
cana-953	163	1	system	system	NOUN
cana-953	163	2	configuration	configuration	NOUN
cana-953	163	3	the	the	DET
cana-953	163	4	experiments	experiment	NOUN
cana-953	163	5	were	be	AUX
cana-953	163	6	conducted	conduct	VERB
cana-953	163	7	on	on	ADP
cana-953	163	8	a	a	DET
cana-953	163	9	distributed	distribute	VERB
cana-953	163	10	computing	computing	NOUN
cana-953	163	11	cluster	cluster	NOUN
cana-953	163	12	consisting	consist	VERB
cana-953	163	13	of	of	ADP
cana-953	163	14	20	20	NUM
cana-953	163	15	nodes	node	NOUN
cana-953	163	16	.	.	PUNCT
cana-953	164	1	each	each	DET
cana-953	164	2	node	node	NOUN
cana-953	164	3	is	be	AUX
cana-953	164	4	equipped	equip	VERB
cana-953	164	5	with	with	ADP
cana-953	164	6	an	an	DET
cana-953	164	7	intel	intel	PROPN
cana-953	164	8	xeon	xeon	PROPN
cana-953	164	9	processor	processor	NOUN
cana-953	164	10	e5	e5	PROPN
cana-953	164	11	-	-	PUNCT
cana-953	164	12	2670	2670	NUM
cana-953	164	13	,	,	PUNCT
cana-953	164	14	64	64	NUM
cana-953	164	15	gb	gb	NOUN
cana-953	164	16	ram	ram	NOUN
cana-953	164	17	,	,	PUNCT
cana-953	164	18	and	and	CCONJ
cana-953	164	19	connected	connect	VERB
cana-953	164	20	through	through	ADP
cana-953	164	21	a	a	DET
cana-953	164	22	10gbps	10gbps	NUM
cana-953	164	23	ethernet	ethernet	NOUN
cana-953	164	24	network	network	NOUN
cana-953	164	25	.	.	PUNCT
cana-953	165	1	this	this	DET
cana-953	165	2	configuration	configuration	NOUN
cana-953	165	3	reflects	reflect	VERB
cana-953	165	4	a	a	DET
cana-953	165	5	typical	typical	ADJ
cana-953	165	6	medium	medium	ADJ
cana-953	165	7	-	-	PUNCT
cana-953	165	8	scale	scale	NOUN
cana-953	165	9	enterprise	enterprise	NOUN
cana-953	165	10	-	-	PUNCT
cana-953	165	11	level	level	NOUN
cana-953	165	12	distributed	distribute	VERB
cana-953	165	13	system	system	NOUN
cana-953	165	14	,	,	PUNCT
cana-953	165	15	suitable	suitable	ADJ
cana-953	165	16	for	for	ADP
cana-953	165	17	evaluating	evaluate	VERB
cana-953	165	18	the	the	DET
cana-953	165	19	scheduling	scheduling	NOUN
cana-953	165	20	models	model	NOUN
cana-953	165	21	under	under	ADP
cana-953	165	22	realistic	realistic	ADJ
cana-953	165	23	workloads	workload	NOUN
cana-953	165	24	and	and	CCONJ
cana-953	165	25	system	system	NOUN
cana-953	165	26	conditions	condition	NOUN
cana-953	165	27	.	.	PUNCT
cana-953	166	1	dataset	dataset	VERB
cana-953	166	2	for	for	ADP
cana-953	166	3	the	the	DET
cana-953	166	4	purpose	purpose	NOUN
cana-953	166	5	of	of	ADP
cana-953	166	6	these	these	DET
cana-953	166	7	experiments	experiment	NOUN
cana-953	166	8	,	,	PUNCT
cana-953	166	9	three	three	NUM
cana-953	166	10	contextual	contextual	ADJ
cana-953	166	11	dataset	dataset	NOUN
cana-953	166	12	samples	sample	NOUN
cana-953	166	13	were	be	AUX
cana-953	166	14	chosen	choose	VERB
cana-953	166	15	to	to	PART
cana-953	166	16	represent	represent	VERB
cana-953	166	17	different	different	ADJ
cana-953	166	18	types	type	NOUN
cana-953	166	19	of	of	ADP
cana-953	166	20	workloads	workload	NOUN
cana-953	166	21	typically	typically	ADV
cana-953	166	22	processed	process	VERB
cana-953	166	23	in	in	ADP
cana-953	166	24	distributed	distribute	VERB
cana-953	166	25	computing	computing	NOUN
cana-953	166	26	environments	environment	NOUN
cana-953	166	27	:	:	PUNCT
cana-953	166	28	•	•	NUM
cana-953	166	29	log	log	NOUN
cana-953	166	30	processing	processing	NOUN
cana-953	166	31	workload	workload	NOUN
cana-953	166	32	:	:	PUNCT
cana-953	166	33	this	this	DET
cana-953	166	34	dataset	dataset	NOUN
cana-953	166	35	comprises	comprise	VERB
cana-953	166	36	web	web	NOUN
cana-953	166	37	server	server	NOUN
cana-953	166	38	logs	log	NOUN
cana-953	166	39	totaling	total	VERB
cana-953	166	40	100	100	NUM
cana-953	166	41	gb	gb	NOUN
cana-953	166	42	,	,	PUNCT
cana-953	166	43	intended	intend	VERB
cana-953	166	44	to	to	PART
cana-953	166	45	simulate	simulate	VERB
cana-953	166	46	the	the	DET
cana-953	166	47	processing	processing	NOUN
cana-953	166	48	of	of	ADP
cana-953	166	49	unstructured	unstructured	ADJ
cana-953	166	50	text	text	NOUN
cana-953	166	51	data	datum	NOUN
cana-953	166	52	samples	sample	NOUN
cana-953	166	53	.	.	PUNCT
cana-953	167	1	the	the	DET
cana-953	167	2	logs	log	NOUN
cana-953	167	3	vary	vary	VERB
cana-953	167	4	in	in	ADP
cana-953	167	5	size	size	NOUN
cana-953	167	6	from	from	ADP
cana-953	167	7	500	500	NUM
cana-953	167	8	kb	kb	PROPN
cana-953	167	9	communications	communication	NOUN
cana-953	167	10	on	on	ADP
cana-953	167	11	applied	apply	VERB
cana-953	167	12	nonlinear	nonlinear	ADJ
cana-953	167	13	analysis	analysis	NOUN
cana-953	167	14	issn	issn	NOUN
cana-953	167	15	:	:	PUNCT
cana-953	167	16	1074	1074	NUM
cana-953	167	17	-	-	PUNCT
cana-953	167	18	133x	133x	NUM
cana-953	167	19	vol	vol	NOUN
cana-953	167	20	31	31	NUM
cana-953	167	21	no	no	NOUN
cana-953	167	22	.	.	PUNCT
cana-953	168	1	4s	4s	NUM
cana-953	168	2	(	(	PUNCT
cana-953	168	3	2024	2024	NUM
cana-953	168	4	)	)	PUNCT
cana-953	168	5	611	611	NUM
cana-953	168	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	168	7	to	to	ADP
cana-953	168	8	15	15	NUM
cana-953	168	9	mb	mb	NOUN
cana-953	168	10	,	,	PUNCT
cana-953	168	11	creating	create	VERB
cana-953	168	12	a	a	DET
cana-953	168	13	varied	varied	ADJ
cana-953	168	14	workload	workload	NOUN
cana-953	168	15	to	to	PART
cana-953	168	16	test	test	VERB
cana-953	168	17	the	the	DET
cana-953	168	18	effectiveness	effectiveness	NOUN
cana-953	168	19	of	of	ADP
cana-953	168	20	the	the	DET
cana-953	168	21	cjcs	cjc	NOUN
cana-953	168	22	in	in	ADP
cana-953	168	23	handling	handle	VERB
cana-953	168	24	jobs	job	NOUN
cana-953	168	25	with	with	ADP
cana-953	168	26	different	different	ADJ
cana-953	168	27	resource	resource	NOUN
cana-953	168	28	requirements	requirement	NOUN
cana-953	168	29	.	.	PUNCT
cana-953	169	1	•	•	NUM
cana-953	169	2	image	image	NOUN
cana-953	169	3	processing	processing	NOUN
cana-953	169	4	workload	workload	NOUN
cana-953	169	5	:	:	PUNCT
cana-953	169	6	composed	compose	VERB
cana-953	169	7	of	of	ADP
cana-953	169	8	50,000	50,000	NUM
cana-953	169	9	images	image	NOUN
cana-953	169	10	,	,	PUNCT
cana-953	169	11	averaging	average	VERB
cana-953	169	12	2	2	NUM
cana-953	169	13	mb	mb	ADP
cana-953	169	14	each	each	PRON
cana-953	169	15	,	,	PUNCT
cana-953	169	16	this	this	DET
cana-953	169	17	dataset	dataset	NOUN
cana-953	169	18	is	be	AUX
cana-953	169	19	used	use	VERB
cana-953	169	20	to	to	PART
cana-953	169	21	evaluate	evaluate	VERB
cana-953	169	22	the	the	DET
cana-953	169	23	performance	performance	NOUN
cana-953	169	24	of	of	ADP
cana-953	169	25	the	the	DET
cana-953	169	26	system	system	NOUN
cana-953	169	27	in	in	ADP
cana-953	169	28	handling	handle	VERB
cana-953	169	29	large	large	ADJ
cana-953	169	30	-	-	PUNCT
cana-953	169	31	scale	scale	NOUN
cana-953	169	32	image	image	NOUN
cana-953	169	33	data	datum	NOUN
cana-953	169	34	,	,	PUNCT
cana-953	169	35	which	which	PRON
cana-953	169	36	requires	require	VERB
cana-953	169	37	significant	significant	ADJ
cana-953	169	38	computational	computational	ADJ
cana-953	169	39	resources	resource	NOUN
cana-953	169	40	for	for	ADP
cana-953	169	41	tasks	task	NOUN
cana-953	169	42	such	such	ADJ
cana-953	169	43	as	as	ADP
cana-953	169	44	resizing	resizing	NOUN
cana-953	169	45	,	,	PUNCT
cana-953	169	46	filtering	filtering	NOUN
cana-953	169	47	,	,	PUNCT
cana-953	169	48	and	and	CCONJ
cana-953	169	49	pattern	pattern	NOUN
cana-953	169	50	recognition	recognition	NOUN
cana-953	169	51	.	.	PUNCT
cana-953	170	1	•	•	NUM
cana-953	170	2	financial	financial	ADJ
cana-953	170	3	transactions	transaction	NOUN
cana-953	170	4	workload	workload	NOUN
cana-953	170	5	:	:	PUNCT
cana-953	170	6	this	this	DET
cana-953	170	7	dataset	dataset	NOUN
cana-953	170	8	includes	include	VERB
cana-953	170	9	10	10	NUM
cana-953	170	10	million	million	NUM
cana-953	170	11	financial	financial	ADJ
cana-953	170	12	transaction	transaction	NOUN
cana-953	170	13	records	record	NOUN
cana-953	170	14	,	,	PUNCT
cana-953	170	15	each	each	DET
cana-953	170	16	record	record	NOUN
cana-953	170	17	being	be	AUX
cana-953	170	18	approximately	approximately	ADV
cana-953	170	19	1	1	NUM
cana-953	170	20	kb	kb	NOUN
cana-953	170	21	in	in	ADP
cana-953	170	22	size	size	NOUN
cana-953	170	23	.	.	PUNCT
cana-953	171	1	this	this	DET
cana-953	171	2	high	high	ADJ
cana-953	171	3	-	-	PUNCT
cana-953	171	4	frequency	frequency	NOUN
cana-953	171	5	,	,	PUNCT
cana-953	171	6	low	low	ADJ
cana-953	171	7	-	-	PUNCT
cana-953	171	8	latency	latency	NOUN
cana-953	171	9	dataset	dataset	NOUN
cana-953	171	10	tests	test	VERB
cana-953	171	11	the	the	DET
cana-953	171	12	system	system	NOUN
cana-953	171	13	’s	’s	PART
cana-953	171	14	ability	ability	NOUN
cana-953	171	15	to	to	PART
cana-953	171	16	efficiently	efficiently	ADV
cana-953	171	17	process	process	VERB
cana-953	171	18	a	a	DET
cana-953	171	19	large	large	ADJ
cana-953	171	20	number	number	NOUN
cana-953	171	21	of	of	ADP
cana-953	171	22	small	small	ADJ
cana-953	171	23	jobs	job	NOUN
cana-953	171	24	,	,	PUNCT
cana-953	171	25	which	which	PRON
cana-953	171	26	is	be	AUX
cana-953	171	27	critical	critical	ADJ
cana-953	171	28	for	for	ADP
cana-953	171	29	real	real	ADJ
cana-953	171	30	-	-	PUNCT
cana-953	171	31	time	time	NOUN
cana-953	171	32	analytics	analytic	NOUN
cana-953	171	33	applications	application	NOUN
cana-953	171	34	.	.	PUNCT
cana-953	172	1	parameters	parameter	NOUN
cana-953	172	2	the	the	DET
cana-953	172	3	parameters	parameter	NOUN
cana-953	172	4	for	for	ADP
cana-953	172	5	each	each	PRON
cana-953	172	6	of	of	ADP
cana-953	172	7	the	the	DET
cana-953	172	8	scheduling	scheduling	NOUN
cana-953	172	9	models	model	NOUN
cana-953	172	10	were	be	AUX
cana-953	172	11	set	set	VERB
cana-953	172	12	as	as	SCONJ
cana-953	172	13	follows	follow	VERB
cana-953	172	14	:	:	PUNCT
cana-953	172	15	•	•	NOUN
cana-953	172	16	drdjs	drdjs	NOUN
cana-953	172	17	:	:	PUNCT
cana-953	172	18	•	•	NUM
cana-953	172	19	learning	learn	VERB
cana-953	172	20	rate	rate	NOUN
cana-953	172	21	(	(	PUNCT
cana-953	172	22	𝛼α	𝛼α	PROPN
cana-953	172	23	):	):	PUNCT
cana-953	172	24	0.1	0.1	NUM
cana-953	172	25	•	•	NOUN
cana-953	172	26	discount	discount	NOUN
cana-953	172	27	factor	factor	NOUN
cana-953	172	28	(	(	PUNCT
cana-953	172	29	𝛾γ	𝛾γ	NOUN
cana-953	172	30	):	):	PUNCT
cana-953	172	31	0.95	0.95	NUM
cana-953	172	32	•	•	NUM
cana-953	172	33	epsilon	epsilon	PROPN
cana-953	172	34	(	(	PUNCT
cana-953	172	35	𝜖ϵ	𝜖ϵ	NOUN
cana-953	172	36	)	)	PUNCT
cana-953	172	37	for	for	ADP
cana-953	172	38	the	the	DET
cana-953	172	39	epsilon	epsilon	PROPN
cana-953	172	40	-	-	PUNCT
cana-953	172	41	greedy	greedy	ADJ
cana-953	172	42	policy	policy	NOUN
cana-953	172	43	:	:	PUNCT
cana-953	172	44	0.05	0.05	NUM
cana-953	172	45	,	,	PUNCT
cana-953	172	46	decaying	decay	VERB
cana-953	172	47	over	over	ADP
cana-953	172	48	timestamp	timestamp	NOUN
cana-953	172	49	to	to	PART
cana-953	172	50	encourage	encourage	VERB
cana-953	172	51	exploitation	exploitation	NOUN
cana-953	172	52	as	as	SCONJ
cana-953	172	53	the	the	DET
cana-953	172	54	model	model	NOUN
cana-953	172	55	converges	converge	VERB
cana-953	172	56	.	.	PUNCT
cana-953	173	1	•	•	NUM
cana-953	173	2	adas	adas	PROPN
cana-953	173	3	:	:	PUNCT
cana-953	173	4	•	•	NUM
cana-953	173	5	anomaly	anomaly	NOUN
cana-953	173	6	detection	detection	NOUN
cana-953	173	7	threshold	threshold	NOUN
cana-953	173	8	,	,	PUNCT
cana-953	173	9	set	set	VERB
cana-953	173	10	dynamically	dynamically	ADV
cana-953	173	11	based	base	VERB
cana-953	173	12	on	on	ADP
cana-953	173	13	the	the	DET
cana-953	173	14	mean	mean	ADJ
cana-953	173	15	and	and	CCONJ
cana-953	173	16	standard	standard	ADJ
cana-953	173	17	deviation	deviation	NOUN
cana-953	173	18	of	of	ADP
cana-953	173	19	historic	historic	ADJ
cana-953	173	20	system	system	NOUN
cana-953	173	21	performance	performance	NOUN
cana-953	173	22	metrics	metric	NOUN
cana-953	173	23	.	.	PUNCT
cana-953	174	1	•	•	NUM
cana-953	174	2	resource	resource	NOUN
cana-953	174	3	reallocation	reallocation	NOUN
cana-953	174	4	factor	factor	NOUN
cana-953	174	5	(	(	PUNCT
cana-953	174	6	𝛿δ	𝛿δ	NOUN
cana-953	174	7	):	):	PUNCT
cana-953	174	8	adjusts	adjust	VERB
cana-953	174	9	the	the	DET
cana-953	174	10	resource	resource	NOUN
cana-953	174	11	allocation	allocation	NOUN
cana-953	174	12	by	by	ADP
cana-953	174	13	up	up	ADP
cana-953	174	14	to	to	PART
cana-953	174	15	20	20	NUM
cana-953	174	16	%	%	NOUN
cana-953	174	17	in	in	ADP
cana-953	174	18	response	response	NOUN
cana-953	174	19	to	to	ADP
cana-953	174	20	detected	detect	VERB
cana-953	174	21	anomalies	anomaly	NOUN
cana-953	174	22	.	.	PUNCT
cana-953	175	1	•	•	NUM
cana-953	175	2	cjcs	cjc	NOUN
cana-953	175	3	:	:	PUNCT
cana-953	175	4	•	•	NUM
cana-953	175	5	number	number	NOUN
cana-953	175	6	of	of	ADP
cana-953	175	7	clusters	cluster	NOUN
cana-953	175	8	(	(	PUNCT
cana-953	175	9	k	k	NOUN
cana-953	175	10	):	):	PUNCT
cana-953	175	11	5	5	NUM
cana-953	175	12	,	,	PUNCT
cana-953	175	13	determined	determine	VERB
cana-953	175	14	based	base	VERB
cana-953	175	15	on	on	ADP
cana-953	175	16	preliminary	preliminary	ADJ
cana-953	175	17	analysis	analysis	NOUN
cana-953	175	18	using	use	VERB
cana-953	175	19	the	the	DET
cana-953	175	20	elbow	elbow	NOUN
cana-953	175	21	method	method	NOUN
cana-953	175	22	to	to	PART
cana-953	175	23	ensure	ensure	VERB
cana-953	175	24	optimal	optimal	ADJ
cana-953	175	25	grouping	grouping	NOUN
cana-953	175	26	without	without	ADP
cana-953	175	27	overfitting	overfitte	VERB
cana-953	175	28	.	.	PUNCT
cana-953	176	1	•	•	NUM
cana-953	176	2	cluster	cluster	NOUN
cana-953	176	3	update	update	NOUN
cana-953	176	4	frequency	frequency	NOUN
cana-953	176	5	:	:	PUNCT
cana-953	176	6	every	every	PRON
cana-953	176	7	100	100	NUM
cana-953	176	8	jobs	job	NOUN
cana-953	176	9	to	to	PART
cana-953	176	10	adapt	adapt	VERB
cana-953	176	11	to	to	ADP
cana-953	176	12	changes	change	NOUN
cana-953	176	13	in	in	ADP
cana-953	176	14	the	the	DET
cana-953	176	15	job	job	NOUN
cana-953	176	16	characteristics	characteristic	NOUN
cana-953	176	17	over	over	ADP
cana-953	176	18	time	time	NOUN
cana-953	176	19	.	.	PUNCT
cana-953	177	1	experimental	experimental	ADJ
cana-953	177	2	design	design	NOUN
cana-953	177	3	the	the	DET
cana-953	177	4	experiments	experiment	NOUN
cana-953	177	5	were	be	AUX
cana-953	177	6	conducted	conduct	VERB
cana-953	177	7	under	under	ADP
cana-953	177	8	varying	vary	VERB
cana-953	177	9	system	system	NOUN
cana-953	177	10	loads	load	NOUN
cana-953	177	11	and	and	CCONJ
cana-953	177	12	conditions	condition	NOUN
cana-953	177	13	to	to	PART
cana-953	177	14	evaluate	evaluate	VERB
cana-953	177	15	each	each	DET
cana-953	177	16	model	model	NOUN
cana-953	177	17	's	's	PART
cana-953	177	18	responsiveness	responsiveness	NOUN
cana-953	177	19	and	and	CCONJ
cana-953	177	20	effectiveness	effectiveness	NOUN
cana-953	177	21	.	.	PUNCT
cana-953	178	1	each	each	DET
cana-953	178	2	dataset	dataset	NOUN
cana-953	178	3	was	be	AUX
cana-953	178	4	processed	process	VERB
cana-953	178	5	under	under	ADP
cana-953	178	6	three	three	NUM
cana-953	178	7	different	different	ADJ
cana-953	178	8	scenarios	scenario	NOUN
cana-953	178	9	:	:	PUNCT
cana-953	178	10	1	1	X
cana-953	178	11	.	.	X
cana-953	178	12	baseline	baseline	PROPN
cana-953	178	13	scenario	scenario	PROPN
cana-953	178	14	:	:	PUNCT
cana-953	178	15	where	where	SCONJ
cana-953	178	16	jobs	job	NOUN
cana-953	178	17	are	be	AUX
cana-953	178	18	scheduled	schedule	VERB
cana-953	178	19	using	use	VERB
cana-953	178	20	a	a	DET
cana-953	178	21	traditional	traditional	ADJ
cana-953	178	22	first	first	ADJ
cana-953	178	23	-	-	PUNCT
cana-953	178	24	in	in	ADP
cana-953	178	25	-	-	PUNCT
cana-953	178	26	first	first	ADV
cana-953	178	27	-	-	PUNCT
cana-953	178	28	out	out	NOUN
cana-953	178	29	(	(	PUNCT
cana-953	178	30	fifo	fifo	ADJ
cana-953	178	31	)	)	PUNCT
cana-953	178	32	strategy	strategy	NOUN
cana-953	178	33	without	without	ADP
cana-953	178	34	any	any	DET
cana-953	178	35	adaptive	adaptive	ADJ
cana-953	178	36	optimizations	optimization	NOUN
cana-953	178	37	.	.	PUNCT
cana-953	179	1	2	2	X
cana-953	179	2	.	.	X
cana-953	179	3	individual	individual	ADJ
cana-953	179	4	model	model	PROPN
cana-953	179	5	scenario	scenario	PROPN
cana-953	179	6	:	:	PUNCT
cana-953	179	7	each	each	DET
cana-953	179	8	model	model	NOUN
cana-953	179	9	(	(	PUNCT
cana-953	179	10	drdjs	drdjs	PROPN
cana-953	179	11	,	,	PUNCT
cana-953	179	12	adas	adas	PROPN
cana-953	179	13	,	,	PUNCT
cana-953	179	14	cjcs	cjc	NOUN
cana-953	179	15	)	)	PUNCT
cana-953	179	16	was	be	AUX
cana-953	179	17	tested	test	VERB
cana-953	179	18	independently	independently	ADV
cana-953	179	19	to	to	PART
cana-953	179	20	assess	assess	VERB
cana-953	179	21	its	its	PRON
cana-953	179	22	specific	specific	ADJ
cana-953	179	23	impact	impact	NOUN
cana-953	179	24	on	on	ADP
cana-953	179	25	the	the	DET
cana-953	179	26	system	system	NOUN
cana-953	179	27	’s	’s	PART
cana-953	179	28	performance	performance	NOUN
cana-953	179	29	.	.	PUNCT
cana-953	180	1	communications	communication	NOUN
cana-953	180	2	on	on	ADP
cana-953	180	3	applied	apply	VERB
cana-953	180	4	nonlinear	nonlinear	ADJ
cana-953	180	5	analysis	analysis	NOUN
cana-953	180	6	issn	issn	NOUN
cana-953	180	7	:	:	PUNCT
cana-953	180	8	1074	1074	NUM
cana-953	180	9	-	-	PUNCT
cana-953	180	10	133x	133x	NUM
cana-953	180	11	vol	vol	NOUN
cana-953	180	12	31	31	NUM
cana-953	180	13	no	no	NOUN
cana-953	180	14	.	.	PUNCT
cana-953	181	1	4s	4s	NUM
cana-953	181	2	(	(	PUNCT
cana-953	181	3	2024	2024	NUM
cana-953	181	4	)	)	PUNCT
cana-953	181	5	612	612	NUM
cana-953	181	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	181	7	3	3	X
cana-953	181	8	.	.	PUNCT
cana-953	181	9	integrated	integrate	VERB
cana-953	181	10	model	model	NOUN
cana-953	181	11	scenario	scenario	NOUN
cana-953	181	12	:	:	PUNCT
cana-953	181	13	all	all	DET
cana-953	181	14	three	three	NUM
cana-953	181	15	models	model	NOUN
cana-953	181	16	were	be	AUX
cana-953	181	17	integrated	integrate	VERB
cana-953	181	18	,	,	PUNCT
cana-953	181	19	functioning	function	VERB
cana-953	181	20	simultaneously	simultaneously	ADV
cana-953	181	21	to	to	PART
cana-953	181	22	leverage	leverage	VERB
cana-953	181	23	their	their	PRON
cana-953	181	24	combined	combine	VERB
cana-953	181	25	strengths	strength	NOUN
cana-953	181	26	.	.	PUNCT
cana-953	182	1	the	the	DET
cana-953	182	2	primary	primary	ADJ
cana-953	182	3	metrics	metric	NOUN
cana-953	182	4	used	use	VERB
cana-953	182	5	to	to	PART
cana-953	182	6	evaluate	evaluate	VERB
cana-953	182	7	performance	performance	NOUN
cana-953	182	8	included	include	VERB
cana-953	182	9	job	job	NOUN
cana-953	182	10	completion	completion	NOUN
cana-953	182	11	time	time	NOUN
cana-953	182	12	,	,	PUNCT
cana-953	182	13	system	system	NOUN
cana-953	182	14	throughput	throughput	NOUN
cana-953	182	15	,	,	PUNCT
cana-953	182	16	and	and	CCONJ
cana-953	182	17	resource	resource	NOUN
cana-953	182	18	utilization	utilization	NOUN
cana-953	182	19	efficiency	efficiency	NOUN
cana-953	182	20	.	.	PUNCT
cana-953	183	1	these	these	DET
cana-953	183	2	metrics	metric	NOUN
cana-953	183	3	provide	provide	VERB
cana-953	183	4	insight	insight	NOUN
cana-953	183	5	into	into	ADP
cana-953	183	6	the	the	DET
cana-953	183	7	effectiveness	effectiveness	NOUN
cana-953	183	8	of	of	ADP
cana-953	183	9	the	the	DET
cana-953	183	10	scheduling	scheduling	NOUN
cana-953	183	11	models	model	NOUN
cana-953	183	12	in	in	ADP
cana-953	183	13	optimizing	optimize	VERB
cana-953	183	14	the	the	DET
cana-953	183	15	processing	processing	NOUN
cana-953	183	16	of	of	ADP
cana-953	183	17	diverse	diverse	ADJ
cana-953	183	18	workloads	workload	NOUN
cana-953	183	19	.	.	PUNCT
cana-953	184	1	this	this	DET
cana-953	184	2	experimental	experimental	ADJ
cana-953	184	3	setup	setup	NOUN
cana-953	184	4	provides	provide	VERB
cana-953	184	5	a	a	DET
cana-953	184	6	rigorous	rigorous	ADJ
cana-953	184	7	framework	framework	NOUN
cana-953	184	8	for	for	ADP
cana-953	184	9	evaluating	evaluate	VERB
cana-953	184	10	the	the	DET
cana-953	184	11	proposed	propose	VERB
cana-953	184	12	scheduling	scheduling	NOUN
cana-953	184	13	models	model	NOUN
cana-953	184	14	,	,	PUNCT
cana-953	184	15	ensuring	ensure	VERB
cana-953	184	16	that	that	SCONJ
cana-953	184	17	the	the	DET
cana-953	184	18	findings	finding	NOUN
cana-953	184	19	are	be	AUX
cana-953	184	20	robust	robust	ADJ
cana-953	184	21	,	,	PUNCT
cana-953	184	22	replicable	replicable	ADJ
cana-953	184	23	,	,	PUNCT
cana-953	184	24	and	and	CCONJ
cana-953	184	25	indicative	indicative	ADJ
cana-953	184	26	of	of	ADP
cana-953	184	27	performance	performance	NOUN
cana-953	184	28	in	in	ADP
cana-953	184	29	real	real	ADJ
cana-953	184	30	-	-	PUNCT
cana-953	184	31	world	world	NOUN
cana-953	184	32	distributed	distribute	VERB
cana-953	184	33	computing	computing	NOUN
cana-953	184	34	environments	environment	NOUN
cana-953	184	35	.	.	PUNCT
cana-953	185	1	based	base	VERB
cana-953	185	2	on	on	ADP
cana-953	185	3	this	this	DET
cana-953	185	4	setup	setup	NOUN
cana-953	185	5	,	,	PUNCT
cana-953	185	6	effectiveness	effectiveness	NOUN
cana-953	185	7	of	of	ADP
cana-953	185	8	the	the	DET
cana-953	185	9	proposed	propose	VERB
cana-953	185	10	scheduling	scheduling	NOUN
cana-953	185	11	framework	framework	NOUN
cana-953	185	12	was	be	AUX
cana-953	185	13	evaluated	evaluate	VERB
cana-953	185	14	using	use	VERB
cana-953	185	15	the	the	DET
cana-953	185	16	previously	previously	ADV
cana-953	185	17	mentioned	mention	VERB
cana-953	185	18	contextual	contextual	ADJ
cana-953	185	19	datasets	dataset	NOUN
cana-953	185	20	:	:	PUNCT
cana-953	185	21	log	log	NOUN
cana-953	185	22	processing	processing	NOUN
cana-953	185	23	,	,	PUNCT
cana-953	185	24	image	image	NOUN
cana-953	185	25	processing	processing	NOUN
cana-953	185	26	,	,	PUNCT
cana-953	185	27	and	and	CCONJ
cana-953	185	28	financial	financial	ADJ
cana-953	185	29	transactions	transaction	NOUN
cana-953	185	30	workloads	workload	NOUN
cana-953	185	31	.	.	PUNCT
cana-953	186	1	for	for	ADP
cana-953	186	2	each	each	DET
cana-953	186	3	dataset	dataset	NOUN
cana-953	186	4	,	,	PUNCT
cana-953	186	5	the	the	DET
cana-953	186	6	performance	performance	NOUN
cana-953	186	7	of	of	ADP
cana-953	186	8	our	our	PRON
cana-953	186	9	proposed	propose	VERB
cana-953	186	10	model	model	NOUN
cana-953	186	11	was	be	AUX
cana-953	186	12	compared	compare	VERB
cana-953	186	13	against	against	ADP
cana-953	186	14	three	three	NUM
cana-953	186	15	other	other	ADJ
cana-953	186	16	methods	method	NOUN
cana-953	186	17	,	,	PUNCT
cana-953	186	18	referred	refer	VERB
cana-953	186	19	to	to	ADP
cana-953	186	20	as	as	ADP
cana-953	186	21	[	[	X
cana-953	186	22	2	2	NUM
cana-953	186	23	]	]	PUNCT
cana-953	186	24	,	,	PUNCT
cana-953	186	25	[	[	X
cana-953	186	26	5	5	NUM
cana-953	186	27	]	]	PUNCT
cana-953	186	28	,	,	PUNCT
cana-953	186	29	and	and	CCONJ
cana-953	186	30	[	[	X
cana-953	186	31	15	15	NUM
cana-953	186	32	]	]	PUNCT
cana-953	186	33	,	,	PUNCT
cana-953	186	34	representing	represent	VERB
cana-953	186	35	conventional	conventional	ADJ
cana-953	186	36	scheduling	scheduling	NOUN
cana-953	186	37	strategies	strategy	NOUN
cana-953	186	38	.	.	PUNCT
cana-953	187	1	the	the	DET
cana-953	187	2	results	result	NOUN
cana-953	187	3	are	be	AUX
cana-953	187	4	presented	present	VERB
cana-953	187	5	in	in	ADP
cana-953	187	6	a	a	DET
cana-953	187	7	series	series	NOUN
cana-953	187	8	of	of	ADP
cana-953	187	9	tables	table	NOUN
cana-953	187	10	that	that	PRON
cana-953	187	11	illustrate	illustrate	VERB
cana-953	187	12	the	the	DET
cana-953	187	13	job	job	NOUN
cana-953	187	14	completion	completion	NOUN
cana-953	187	15	time	time	NOUN
cana-953	187	16	,	,	PUNCT
cana-953	187	17	system	system	NOUN
cana-953	187	18	throughput	throughput	NOUN
cana-953	187	19	,	,	PUNCT
cana-953	187	20	and	and	CCONJ
cana-953	187	21	resource	resource	NOUN
cana-953	187	22	utilization	utilization	NOUN
cana-953	187	23	efficiency	efficiency	NOUN
cana-953	187	24	across	across	ADP
cana-953	187	25	different	different	ADJ
cana-953	187	26	scenarios	scenario	NOUN
cana-953	187	27	.	.	PUNCT
cana-953	188	1	table	table	NOUN
cana-953	188	2	2	2	NUM
cana-953	188	3	:	:	PUNCT
cana-953	188	4	job	job	NOUN
cana-953	188	5	completion	completion	NOUN
cana-953	188	6	times	time	NOUN
cana-953	188	7	for	for	ADP
cana-953	188	8	log	log	NOUN
cana-953	188	9	processing	processing	NOUN
cana-953	188	10	workload	workload	NOUN
cana-953	188	11	method	method	NOUN
cana-953	188	12	average	average	ADJ
cana-953	188	13	job	job	NOUN
cana-953	188	14	completion	completion	NOUN
cana-953	188	15	timestamp	timestamp	NOUN
cana-953	188	16	(	(	PUNCT
cana-953	188	17	seconds	second	NOUN
cana-953	188	18	)	)	PUNCT
cana-953	188	19	proposed	propose	VERB
cana-953	188	20	model	model	NOUN
cana-953	188	21	55	55	NUM
cana-953	189	1	[	[	X
cana-953	189	2	2	2	NUM
cana-953	189	3	]	]	SYM
cana-953	189	4	75	75	NUM
cana-953	190	1	[	[	X
cana-953	190	2	5	5	NUM
cana-953	190	3	]	]	SYM
cana-953	190	4	70	70	NUM
cana-953	190	5	[	[	X
cana-953	190	6	15	15	NUM
cana-953	190	7	]	]	SYM
cana-953	190	8	85	85	NUM
cana-953	190	9	table	table	NOUN
cana-953	190	10	2	2	NUM
cana-953	190	11	displays	display	VERB
cana-953	190	12	the	the	DET
cana-953	190	13	average	average	ADJ
cana-953	190	14	job	job	NOUN
cana-953	190	15	completion	completion	NOUN
cana-953	190	16	times	time	NOUN
cana-953	190	17	for	for	ADP
cana-953	190	18	the	the	DET
cana-953	190	19	log	log	NOUN
cana-953	190	20	processing	processing	NOUN
cana-953	190	21	workload	workload	NOUN
cana-953	190	22	.	.	PUNCT
cana-953	191	1	the	the	DET
cana-953	191	2	proposed	propose	VERB
cana-953	191	3	model	model	NOUN
cana-953	191	4	shows	show	VERB
cana-953	191	5	a	a	DET
cana-953	191	6	significant	significant	ADJ
cana-953	191	7	improvement	improvement	NOUN
cana-953	191	8	,	,	PUNCT
cana-953	191	9	reducing	reduce	VERB
cana-953	191	10	the	the	DET
cana-953	191	11	average	average	ADJ
cana-953	191	12	job	job	NOUN
cana-953	191	13	completion	completion	NOUN
cana-953	191	14	timestamp	timestamp	NOUN
cana-953	191	15	by	by	ADP
cana-953	191	16	approximately	approximately	ADV
cana-953	191	17	27	27	NUM
cana-953	191	18	%	%	NOUN
cana-953	191	19	compared	compare	VERB
cana-953	191	20	to	to	ADP
cana-953	191	21	the	the	DET
cana-953	191	22	slowest	slow	ADJ
cana-953	191	23	method	method	NOUN
cana-953	191	24	[	[	X
cana-953	191	25	15	15	NUM
cana-953	191	26	]	]	PUNCT
cana-953	191	27	.	.	PUNCT
cana-953	192	1	figure	figure	NOUN
cana-953	192	2	3	3	NUM
cana-953	192	3	.	.	PUNCT
cana-953	192	4	job	job	NOUN
cana-953	192	5	completion	completion	NOUN
cana-953	192	6	&	&	CCONJ
cana-953	192	7	job	job	NOUN
cana-953	192	8	per	per	ADP
cana-953	192	9	hour	hour	NOUN
cana-953	192	10	for	for	ADP
cana-953	192	11	the	the	DET
cana-953	192	12	proposed	propose	VERB
cana-953	192	13	model	model	NOUN
cana-953	192	14	process	process	NOUN
cana-953	192	15	0	0	NUM
cana-953	192	16	10	10	NUM
cana-953	192	17	20	20	NUM
cana-953	192	18	30	30	NUM
cana-953	192	19	40	40	NUM
cana-953	192	20	50	50	NUM
cana-953	192	21	60	60	NUM
cana-953	192	22	70	70	NUM
cana-953	192	23	80	80	NUM
cana-953	192	24	90	90	NUM
cana-953	192	25	average	average	ADJ
cana-953	192	26	job	job	NOUN
cana-953	192	27	completion	completion	NOUN
cana-953	192	28	timestamp	timestamp	NOUN
cana-953	192	29	(	(	PUNCT
cana-953	192	30	seconds	second	NOUN
cana-953	192	31	)	)	PUNCT
cana-953	192	32	jobs	job	NOUN
cana-953	192	33	per	per	ADP
cana-953	192	34	hour	hour	NOUN
cana-953	192	35	(	(	PUNCT
cana-953	192	36	x10	x10	NOUN
cana-953	192	37	)	)	PUNCT
cana-953	192	38	proposed	propose	VERB
cana-953	192	39	model	model	NOUN
cana-953	193	1	[	[	X
cana-953	193	2	2	2	NUM
cana-953	193	3	]	]	X
cana-953	193	4	[	[	X
cana-953	193	5	5	5	NUM
cana-953	193	6	]	]	X
cana-953	193	7	[	[	X
cana-953	193	8	15	15	NUM
cana-953	193	9	]	]	X
cana-953	193	10	communications	communication	NOUN
cana-953	193	11	on	on	ADP
cana-953	193	12	applied	apply	VERB
cana-953	193	13	nonlinear	nonlinear	ADJ
cana-953	193	14	analysis	analysis	NOUN
cana-953	193	15	issn	issn	NOUN
cana-953	193	16	:	:	PUNCT
cana-953	193	17	1074	1074	NUM
cana-953	193	18	-	-	PUNCT
cana-953	193	19	133x	133x	NUM
cana-953	193	20	vol	vol	NOUN
cana-953	193	21	31	31	NUM
cana-953	193	22	no	no	NOUN
cana-953	193	23	.	.	PUNCT
cana-953	194	1	4s	4s	NUM
cana-953	194	2	(	(	PUNCT
cana-953	194	3	2024	2024	NUM
cana-953	194	4	)	)	PUNCT
cana-953	194	5	613	613	NUM
cana-953	194	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	194	7	table	table	NOUN
cana-953	194	8	3	3	NUM
cana-953	194	9	:	:	PUNCT
cana-953	194	10	system	system	NOUN
cana-953	194	11	throughput	throughput	NOUN
cana-953	194	12	for	for	ADP
cana-953	194	13	log	log	NOUN
cana-953	194	14	processing	processing	NOUN
cana-953	194	15	workload	workload	NOUN
cana-953	194	16	method	method	NOUN
cana-953	194	17	jobs	job	NOUN
cana-953	194	18	per	per	ADP
cana-953	194	19	hour	hour	NOUN
cana-953	194	20	proposed	propose	VERB
cana-953	194	21	model	model	NOUN
cana-953	194	22	650	650	NUM
cana-953	195	1	[	[	X
cana-953	195	2	2	2	NUM
cana-953	195	3	]	]	PUNCT
cana-953	195	4	480	480	NUM
cana-953	196	1	[	[	X
cana-953	196	2	5	5	NUM
cana-953	196	3	]	]	SYM
cana-953	196	4	500	500	NUM
cana-953	196	5	[	[	X
cana-953	196	6	15	15	NUM
cana-953	196	7	]	]	SYM
cana-953	196	8	425	425	NUM
cana-953	196	9	table	table	NOUN
cana-953	196	10	3	3	NUM
cana-953	196	11	compares	compare	VERB
cana-953	196	12	the	the	DET
cana-953	196	13	system	system	NOUN
cana-953	196	14	throughput	throughput	NOUN
cana-953	196	15	in	in	ADP
cana-953	196	16	terms	term	NOUN
cana-953	196	17	of	of	ADP
cana-953	196	18	jobs	job	NOUN
cana-953	196	19	processed	process	VERB
cana-953	196	20	per	per	ADP
cana-953	196	21	hour	hour	NOUN
cana-953	196	22	.	.	PUNCT
cana-953	197	1	the	the	DET
cana-953	197	2	proposed	propose	VERB
cana-953	197	3	model	model	NOUN
cana-953	197	4	enhances	enhance	VERB
cana-953	197	5	throughput	throughput	NOUN
cana-953	197	6	by	by	ADP
cana-953	197	7	up	up	ADP
cana-953	197	8	to	to	PART
cana-953	197	9	35	35	NUM
cana-953	197	10	%	%	NOUN
cana-953	197	11	over	over	ADP
cana-953	197	12	method	method	NOUN
cana-953	197	13	[	[	X
cana-953	197	14	15	15	NUM
cana-953	197	15	]	]	PUNCT
cana-953	197	16	,	,	PUNCT
cana-953	197	17	indicating	indicate	VERB
cana-953	197	18	a	a	DET
cana-953	197	19	more	more	ADV
cana-953	197	20	efficient	efficient	ADJ
cana-953	197	21	use	use	NOUN
cana-953	197	22	of	of	ADP
cana-953	197	23	resources	resource	NOUN
cana-953	197	24	.	.	PUNCT
cana-953	198	1	table	table	NOUN
cana-953	198	2	4	4	NUM
cana-953	198	3	:	:	PUNCT
cana-953	198	4	resource	resource	NOUN
cana-953	198	5	utilization	utilization	NOUN
cana-953	198	6	efficiency	efficiency	NOUN
cana-953	198	7	for	for	ADP
cana-953	198	8	image	image	NOUN
cana-953	198	9	processing	processing	NOUN
cana-953	198	10	workload	workload	NOUN
cana-953	198	11	method	method	NOUN
cana-953	198	12	cpu	cpu	NOUN
cana-953	198	13	utilization	utilization	NOUN
cana-953	198	14	(	(	PUNCT
cana-953	198	15	%	%	INTJ
cana-953	198	16	)	)	PUNCT
cana-953	198	17	memory	memory	NOUN
cana-953	198	18	utilization	utilization	NOUN
cana-953	198	19	(	(	PUNCT
cana-953	198	20	%	%	INTJ
cana-953	198	21	)	)	PUNCT
cana-953	198	22	proposed	propose	VERB
cana-953	198	23	model	model	NOUN
cana-953	198	24	85	85	NUM
cana-953	198	25	90	90	NUM
cana-953	199	1	[	[	SYM
cana-953	199	2	2	2	NUM
cana-953	199	3	]	]	SYM
cana-953	199	4	75	75	NUM
cana-953	199	5	80	80	NUM
cana-953	200	1	[	[	X
cana-953	200	2	5	5	NUM
cana-953	200	3	]	]	SYM
cana-953	200	4	78	78	NUM
cana-953	200	5	82	82	NUM
cana-953	201	1	[	[	X
cana-953	201	2	15	15	NUM
cana-953	201	3	]	]	SYM
cana-953	201	4	70	70	NUM
cana-953	201	5	75	75	NUM
cana-953	201	6	table	table	NOUN
cana-953	201	7	4	4	NUM
cana-953	201	8	shows	show	VERB
cana-953	201	9	the	the	DET
cana-953	201	10	resource	resource	NOUN
cana-953	201	11	utilization	utilization	NOUN
cana-953	201	12	for	for	ADP
cana-953	201	13	the	the	DET
cana-953	201	14	image	image	NOUN
cana-953	201	15	processing	processing	NOUN
cana-953	201	16	workload	workload	NOUN
cana-953	201	17	,	,	PUNCT
cana-953	201	18	where	where	SCONJ
cana-953	201	19	the	the	DET
cana-953	201	20	proposed	propose	VERB
cana-953	201	21	model	model	NOUN
cana-953	201	22	achieves	achieve	VERB
cana-953	201	23	better	well	ADJ
cana-953	201	24	cpu	cpu	NOUN
cana-953	201	25	and	and	CCONJ
cana-953	201	26	memory	memory	NOUN
cana-953	201	27	utilization	utilization	NOUN
cana-953	201	28	,	,	PUNCT
cana-953	201	29	indicating	indicate	VERB
cana-953	201	30	a	a	DET
cana-953	201	31	more	more	ADV
cana-953	201	32	balanced	balanced	ADJ
cana-953	201	33	load	load	NOUN
cana-953	201	34	distribution	distribution	NOUN
cana-953	201	35	across	across	ADP
cana-953	201	36	the	the	DET
cana-953	201	37	cluster	cluster	NOUN
cana-953	201	38	.	.	PUNCT
cana-953	202	1	figure	figure	NOUN
cana-953	202	2	4	4	NUM
cana-953	202	3	.	.	X
cana-953	202	4	cpu	cpu	PROPN
cana-953	202	5	&	&	CCONJ
cana-953	202	6	memory	memory	NOUN
cana-953	202	7	utilization	utilization	NOUN
cana-953	202	8	levels	level	NOUN
cana-953	202	9	table	table	VERB
cana-953	202	10	5	5	NUM
cana-953	202	11	:	:	PUNCT
cana-953	202	12	job	job	NOUN
cana-953	202	13	completion	completion	NOUN
cana-953	202	14	times	time	NOUN
cana-953	202	15	for	for	ADP
cana-953	202	16	image	image	NOUN
cana-953	202	17	processing	processing	NOUN
cana-953	202	18	workload	workload	NOUN
cana-953	202	19	method	method	NOUN
cana-953	202	20	average	average	ADJ
cana-953	202	21	job	job	NOUN
cana-953	202	22	completion	completion	NOUN
cana-953	202	23	timestamp	timestamp	NOUN
cana-953	202	24	(	(	PUNCT
cana-953	202	25	seconds	second	NOUN
cana-953	202	26	)	)	PUNCT
cana-953	202	27	proposed	propose	VERB
cana-953	202	28	model	model	NOUN
cana-953	202	29	120	120	NUM
cana-953	203	1	[	[	X
cana-953	203	2	2	2	NUM
cana-953	203	3	]	]	SYM
cana-953	203	4	150	150	NUM
cana-953	204	1	[	[	SYM
cana-953	204	2	5	5	NUM
cana-953	204	3	]	]	SYM
cana-953	204	4	140	140	NUM
cana-953	204	5	[	[	X
cana-953	204	6	15	15	NUM
cana-953	204	7	]	]	SYM
cana-953	204	8	160	160	NUM
cana-953	204	9	table	table	NOUN
cana-953	204	10	5	5	NUM
cana-953	204	11	outlines	outline	VERB
cana-953	204	12	the	the	DET
cana-953	204	13	job	job	NOUN
cana-953	204	14	completion	completion	NOUN
cana-953	204	15	times	time	NOUN
cana-953	204	16	for	for	ADP
cana-953	204	17	processing	processing	NOUN
cana-953	204	18	images	image	NOUN
cana-953	204	19	.	.	PUNCT
cana-953	205	1	the	the	DET
cana-953	205	2	proposed	propose	VERB
cana-953	205	3	model	model	NOUN
cana-953	205	4	shows	show	VERB
cana-953	205	5	superior	superior	ADJ
cana-953	205	6	performance	performance	NOUN
cana-953	205	7	by	by	ADP
cana-953	205	8	reducing	reduce	VERB
cana-953	205	9	the	the	DET
cana-953	205	10	completion	completion	NOUN
cana-953	205	11	timestamp	timestamp	NOUN
cana-953	205	12	by	by	ADP
cana-953	205	13	25	25	NUM
cana-953	205	14	%	%	NOUN
cana-953	205	15	compared	compare	VERB
cana-953	205	16	to	to	PART
cana-953	205	17	method	method	VERB
cana-953	205	18	[	[	X
cana-953	205	19	15	15	NUM
cana-953	205	20	]	]	SYM
cana-953	205	21	.	.	PUNCT
cana-953	206	1	0	0	NUM
cana-953	207	1	10	10	NUM
cana-953	207	2	20	20	NUM
cana-953	207	3	30	30	NUM
cana-953	207	4	40	40	NUM
cana-953	207	5	50	50	NUM
cana-953	207	6	60	60	NUM
cana-953	207	7	70	70	NUM
cana-953	207	8	80	80	NUM
cana-953	207	9	90	90	NUM
cana-953	207	10	100	100	NUM
cana-953	207	11	cpu	cpu	NOUN
cana-953	207	12	utilization	utilization	NOUN
cana-953	207	13	(	(	PUNCT
cana-953	207	14	%	%	INTJ
cana-953	207	15	)	)	PUNCT
cana-953	207	16	memory	memory	NOUN
cana-953	207	17	utilization	utilization	NOUN
cana-953	207	18	(	(	PUNCT
cana-953	207	19	%	%	INTJ
cana-953	207	20	)	)	PUNCT
cana-953	207	21	proposed	propose	VERB
cana-953	207	22	model	model	NOUN
cana-953	207	23	[	[	X
cana-953	207	24	2	2	NUM
cana-953	207	25	]	]	X
cana-953	207	26	[	[	X
cana-953	207	27	5	5	NUM
cana-953	207	28	]	]	X
cana-953	208	1	[	[	X
cana-953	208	2	15	15	NUM
cana-953	208	3	]	]	X
cana-953	208	4	communications	communication	NOUN
cana-953	208	5	on	on	ADP
cana-953	208	6	applied	apply	VERB
cana-953	208	7	nonlinear	nonlinear	ADJ
cana-953	208	8	analysis	analysis	NOUN
cana-953	208	9	issn	issn	NOUN
cana-953	208	10	:	:	PUNCT
cana-953	208	11	1074	1074	NUM
cana-953	208	12	-	-	PUNCT
cana-953	208	13	133x	133x	NUM
cana-953	208	14	vol	vol	NOUN
cana-953	208	15	31	31	NUM
cana-953	208	16	no	no	NOUN
cana-953	208	17	.	.	PUNCT
cana-953	209	1	4s	4s	NUM
cana-953	209	2	(	(	PUNCT
cana-953	209	3	2024	2024	NUM
cana-953	209	4	)	)	PUNCT
cana-953	209	5	614	614	NUM
cana-953	209	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	209	7	table	table	NOUN
cana-953	209	8	6	6	NUM
cana-953	209	9	:	:	PUNCT
cana-953	209	10	system	system	NOUN
cana-953	209	11	throughput	throughput	NOUN
cana-953	209	12	for	for	ADP
cana-953	209	13	financial	financial	ADJ
cana-953	209	14	transactions	transaction	NOUN
cana-953	209	15	workload	workload	NOUN
cana-953	209	16	method	method	NOUN
cana-953	209	17	transactions	transaction	NOUN
cana-953	209	18	per	per	ADP
cana-953	209	19	hour	hour	NOUN
cana-953	209	20	proposed	propose	VERB
cana-953	209	21	model	model	NOUN
cana-953	209	22	1,200,000	1,200,000	NUM
cana-953	209	23	[	[	X
cana-953	209	24	2	2	NUM
cana-953	209	25	]	]	SYM
cana-953	209	26	900,000	900,000	NUM
cana-953	210	1	[	[	SYM
cana-953	210	2	5	5	NUM
cana-953	210	3	]	]	SYM
cana-953	210	4	950,000	950,000	NUM
cana-953	210	5	[	[	X
cana-953	210	6	15	15	NUM
cana-953	210	7	]	]	SYM
cana-953	210	8	850,000	850,000	NUM
cana-953	210	9	table	table	NOUN
cana-953	210	10	6	6	NUM
cana-953	210	11	focuses	focus	VERB
cana-953	210	12	on	on	ADP
cana-953	210	13	the	the	DET
cana-953	210	14	throughput	throughput	NOUN
cana-953	210	15	for	for	ADP
cana-953	210	16	the	the	DET
cana-953	210	17	financial	financial	ADJ
cana-953	210	18	transactions	transaction	NOUN
cana-953	210	19	workload	workload	NOUN
cana-953	210	20	,	,	PUNCT
cana-953	210	21	where	where	SCONJ
cana-953	210	22	the	the	DET
cana-953	210	23	proposed	propose	VERB
cana-953	210	24	model	model	NOUN
cana-953	210	25	processes	process	VERB
cana-953	210	26	more	more	ADJ
cana-953	210	27	transactions	transaction	NOUN
cana-953	210	28	per	per	ADP
cana-953	210	29	hour	hour	NOUN
cana-953	210	30	,	,	PUNCT
cana-953	210	31	showcasing	showcase	VERB
cana-953	210	32	its	its	PRON
cana-953	210	33	ability	ability	NOUN
cana-953	210	34	to	to	PART
cana-953	210	35	handle	handle	VERB
cana-953	210	36	high	high	ADJ
cana-953	210	37	-	-	PUNCT
cana-953	210	38	frequency	frequency	NOUN
cana-953	210	39	,	,	PUNCT
cana-953	210	40	low	low	ADJ
cana-953	210	41	-	-	PUNCT
cana-953	210	42	latency	latency	NOUN
cana-953	210	43	jobs	job	NOUN
cana-953	210	44	effectively	effectively	ADV
cana-953	210	45	.	.	PUNCT
cana-953	211	1	table	table	NOUN
cana-953	211	2	7	7	NUM
cana-953	211	3	:	:	PUNCT
cana-953	211	4	resource	resource	NOUN
cana-953	211	5	utilization	utilization	NOUN
cana-953	211	6	efficiency	efficiency	NOUN
cana-953	211	7	for	for	ADP
cana-953	211	8	financial	financial	ADJ
cana-953	211	9	transactions	transaction	NOUN
cana-953	211	10	workload	workload	NOUN
cana-953	211	11	method	method	NOUN
cana-953	211	12	cpu	cpu	NOUN
cana-953	211	13	utilization	utilization	NOUN
cana-953	211	14	(	(	PUNCT
cana-953	211	15	%	%	INTJ
cana-953	211	16	)	)	PUNCT
cana-953	211	17	memory	memory	NOUN
cana-953	211	18	utilization	utilization	NOUN
cana-953	211	19	(	(	PUNCT
cana-953	211	20	%	%	INTJ
cana-953	211	21	)	)	PUNCT
cana-953	211	22	proposed	propose	VERB
cana-953	211	23	model	model	NOUN
cana-953	211	24	95	95	NUM
cana-953	211	25	93	93	NUM
cana-953	212	1	[	[	X
cana-953	212	2	2	2	NUM
cana-953	212	3	]	]	SYM
cana-953	212	4	85	85	NUM
cana-953	212	5	83	83	NUM
cana-953	212	6	[	[	X
cana-953	212	7	5	5	NUM
cana-953	212	8	]	]	SYM
cana-953	212	9	88	88	NUM
cana-953	212	10	85	85	NUM
cana-953	212	11	[	[	SYM
cana-953	212	12	15	15	NUM
cana-953	212	13	]	]	SYM
cana-953	212	14	80	80	NUM
cana-953	212	15	78	78	NUM
cana-953	212	16	figure	figure	NOUN
cana-953	212	17	5	5	NUM
cana-953	212	18	.	.	PUNCT
cana-953	212	19	resource	resource	NOUN
cana-953	212	20	utilization	utilization	NOUN
cana-953	212	21	efficiency	efficiency	NOUN
cana-953	212	22	for	for	ADP
cana-953	212	23	financial	financial	ADJ
cana-953	212	24	transactions	transaction	NOUN
cana-953	212	25	workload	workload	NOUN
cana-953	212	26	table	table	NOUN
cana-953	212	27	7	7	NUM
cana-953	212	28	evaluates	evaluate	VERB
cana-953	212	29	the	the	DET
cana-953	212	30	cpu	cpu	NOUN
cana-953	212	31	and	and	CCONJ
cana-953	212	32	memory	memory	NOUN
cana-953	212	33	utilization	utilization	NOUN
cana-953	212	34	for	for	ADP
cana-953	212	35	the	the	DET
cana-953	212	36	financial	financial	ADJ
cana-953	212	37	transactions	transaction	NOUN
cana-953	212	38	workloads	workload	NOUN
cana-953	212	39	.	.	PUNCT
cana-953	213	1	the	the	DET
cana-953	213	2	proposed	propose	VERB
cana-953	213	3	model	model	NOUN
cana-953	213	4	maintains	maintain	VERB
cana-953	213	5	high	high	ADJ
cana-953	213	6	utilization	utilization	NOUN
cana-953	213	7	rates	rate	NOUN
cana-953	213	8	,	,	PUNCT
cana-953	213	9	demonstrating	demonstrate	VERB
cana-953	213	10	efficient	efficient	ADJ
cana-953	213	11	resource	resource	NOUN
cana-953	213	12	management	management	NOUN
cana-953	213	13	even	even	ADV
cana-953	213	14	under	under	ADP
cana-953	213	15	the	the	DET
cana-953	213	16	demands	demand	NOUN
cana-953	213	17	of	of	ADP
cana-953	213	18	rapid	rapid	ADJ
cana-953	213	19	transaction	transaction	NOUN
cana-953	213	20	processing	processing	NOUN
cana-953	213	21	.	.	PUNCT
cana-953	214	1	these	these	DET
cana-953	214	2	tables	table	NOUN
cana-953	214	3	collectively	collectively	ADV
cana-953	214	4	demonstrate	demonstrate	VERB
cana-953	214	5	the	the	DET
cana-953	214	6	superiority	superiority	NOUN
cana-953	214	7	of	of	ADP
cana-953	214	8	the	the	DET
cana-953	214	9	proposed	propose	VERB
cana-953	214	10	scheduling	scheduling	NOUN
cana-953	214	11	framework	framework	NOUN
cana-953	214	12	over	over	ADP
cana-953	214	13	the	the	DET
cana-953	214	14	comparative	comparative	ADJ
cana-953	214	15	methods	method	NOUN
cana-953	214	16	[	[	X
cana-953	214	17	2	2	NUM
cana-953	214	18	]	]	PUNCT
cana-953	214	19	,	,	PUNCT
cana-953	214	20	[	[	X
cana-953	214	21	5	5	NUM
cana-953	214	22	]	]	PUNCT
cana-953	214	23	,	,	PUNCT
cana-953	214	24	and	and	CCONJ
cana-953	214	25	[	[	X
cana-953	214	26	15	15	NUM
cana-953	214	27	]	]	PUNCT
cana-953	214	28	.	.	PUNCT
cana-953	215	1	by	by	ADP
cana-953	215	2	effectively	effectively	ADV
cana-953	215	3	reducing	reduce	VERB
cana-953	215	4	job	job	NOUN
cana-953	215	5	completion	completion	NOUN
cana-953	215	6	times	time	NOUN
cana-953	215	7	,	,	PUNCT
cana-953	215	8	increasing	increase	VERB
cana-953	215	9	throughput	throughput	NOUN
cana-953	215	10	,	,	PUNCT
cana-953	215	11	and	and	CCONJ
cana-953	215	12	optimizing	optimize	VERB
cana-953	215	13	resource	resource	NOUN
cana-953	215	14	utilization	utilization	NOUN
cana-953	215	15	,	,	PUNCT
cana-953	215	16	the	the	DET
cana-953	215	17	framework	framework	NOUN
cana-953	215	18	offers	offer	VERB
cana-953	215	19	a	a	DET
cana-953	215	20	significant	significant	ADJ
cana-953	215	21	improvement	improvement	NOUN
cana-953	215	22	in	in	ADP
cana-953	215	23	performance	performance	NOUN
cana-953	215	24	across	across	ADP
cana-953	215	25	diverse	diverse	ADJ
cana-953	215	26	and	and	CCONJ
cana-953	215	27	challenging	challenging	ADJ
cana-953	215	28	workload	workload	NOUN
cana-953	215	29	scenarios	scenario	NOUN
cana-953	215	30	.	.	PUNCT
cana-953	216	1	this	this	DET
cana-953	216	2	analysis	analysis	NOUN
cana-953	216	3	confirms	confirm	VERB
cana-953	216	4	the	the	DET
cana-953	216	5	effectiveness	effectiveness	NOUN
cana-953	216	6	of	of	ADP
cana-953	216	7	integrating	integrate	VERB
cana-953	216	8	adaptive	adaptive	ADJ
cana-953	216	9	scheduling	scheduling	NOUN
cana-953	216	10	techniques	technique	NOUN
cana-953	216	11	within	within	ADP
cana-953	216	12	a	a	DET
cana-953	216	13	distributed	distribute	VERB
cana-953	216	14	computing	computing	NOUN
cana-953	216	15	environment	environment	NOUN
cana-953	216	16	.	.	PUNCT
cana-953	217	1	next	next	ADV
cana-953	217	2	,	,	PUNCT
cana-953	217	3	we	we	PRON
cana-953	217	4	discuss	discuss	VERB
cana-953	217	5	a	a	DET
cana-953	217	6	practical	practical	ADJ
cana-953	217	7	use	use	NOUN
cana-953	217	8	case	case	NOUN
cana-953	217	9	for	for	ADP
cana-953	217	10	the	the	DET
cana-953	217	11	proposed	propose	VERB
cana-953	217	12	model	model	NOUN
cana-953	217	13	,	,	PUNCT
cana-953	217	14	which	which	PRON
cana-953	217	15	will	will	AUX
cana-953	217	16	assist	assist	VERB
cana-953	217	17	readers	reader	NOUN
cana-953	217	18	to	to	PART
cana-953	217	19	understand	understand	VERB
cana-953	217	20	the	the	DET
cana-953	217	21	entire	entire	ADJ
cana-953	217	22	scheduling	scheduling	NOUN
cana-953	217	23	process	process	NOUN
cana-953	217	24	.	.	PUNCT
cana-953	218	1	0	0	NUM
cana-953	218	2	10	10	NUM
cana-953	218	3	20	20	NUM
cana-953	218	4	30	30	NUM
cana-953	218	5	40	40	NUM
cana-953	218	6	50	50	NUM
cana-953	218	7	60	60	NUM
cana-953	218	8	70	70	NUM
cana-953	218	9	80	80	NUM
cana-953	218	10	90	90	NUM
cana-953	218	11	100	100	NUM
cana-953	218	12	cpu	cpu	NOUN
cana-953	218	13	utilization	utilization	NOUN
cana-953	218	14	(	(	PUNCT
cana-953	218	15	%	%	INTJ
cana-953	218	16	)	)	PUNCT
cana-953	218	17	memory	memory	NOUN
cana-953	218	18	utilization	utilization	NOUN
cana-953	218	19	(	(	PUNCT
cana-953	218	20	%	%	INTJ
cana-953	218	21	)	)	PUNCT
cana-953	218	22	proposed	propose	VERB
cana-953	218	23	model	model	NOUN
cana-953	218	24	[	[	X
cana-953	218	25	2	2	NUM
cana-953	218	26	]	]	X
cana-953	218	27	[	[	X
cana-953	218	28	5	5	NUM
cana-953	218	29	]	]	X
cana-953	219	1	[	[	X
cana-953	219	2	15	15	NUM
cana-953	219	3	]	]	X
cana-953	219	4	communications	communication	NOUN
cana-953	219	5	on	on	ADP
cana-953	219	6	applied	apply	VERB
cana-953	219	7	nonlinear	nonlinear	ADJ
cana-953	219	8	analysis	analysis	NOUN
cana-953	219	9	issn	issn	NOUN
cana-953	219	10	:	:	PUNCT
cana-953	219	11	1074	1074	NUM
cana-953	219	12	-	-	PUNCT
cana-953	219	13	133x	133x	NUM
cana-953	219	14	vol	vol	NOUN
cana-953	219	15	31	31	NUM
cana-953	219	16	no	no	NOUN
cana-953	219	17	.	.	PUNCT
cana-953	220	1	4s	4s	NUM
cana-953	220	2	(	(	PUNCT
cana-953	220	3	2024	2024	NUM
cana-953	220	4	)	)	PUNCT
cana-953	220	5	615	615	NUM
cana-953	220	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	220	7	practical	practical	ADJ
cana-953	220	8	use	use	NOUN
cana-953	220	9	case	case	NOUN
cana-953	220	10	to	to	PART
cana-953	220	11	underscore	underscore	VERB
cana-953	220	12	the	the	DET
cana-953	220	13	efficacy	efficacy	NOUN
cana-953	220	14	of	of	ADP
cana-953	220	15	the	the	DET
cana-953	220	16	proposed	propose	VERB
cana-953	220	17	scheduling	scheduling	NOUN
cana-953	220	18	framework	framework	NOUN
cana-953	220	19	in	in	ADP
cana-953	220	20	a	a	DET
cana-953	220	21	distributed	distribute	VERB
cana-953	220	22	computing	computing	NOUN
cana-953	220	23	environment	environment	NOUN
cana-953	220	24	,	,	PUNCT
cana-953	220	25	the	the	DET
cana-953	220	26	performance	performance	NOUN
cana-953	220	27	of	of	ADP
cana-953	220	28	each	each	DET
cana-953	220	29	component	component	NOUN
cana-953	220	30	model	model	NOUN
cana-953	220	31	—	—	PUNCT
cana-953	220	32	deep	deep	ADJ
cana-953	220	33	reinforcement	reinforcement	NOUN
cana-953	220	34	learning	learning	NOUN
cana-953	220	35	for	for	ADP
cana-953	220	36	dynamic	dynamic	ADJ
cana-953	220	37	job	job	NOUN
cana-953	220	38	scheduling	scheduling	NOUN
cana-953	220	39	(	(	PUNCT
cana-953	220	40	drdjs	drdjs	NOUN
cana-953	220	41	)	)	PUNCT
cana-953	220	42	,	,	PUNCT
cana-953	220	43	anomaly	anomaly	NOUN
cana-953	220	44	detection	detection	NOUN
cana-953	220	45	-	-	PUNCT
cana-953	220	46	driven	drive	VERB
cana-953	220	47	adaptive	adaptive	ADJ
cana-953	220	48	scheduling	scheduling	NOUN
cana-953	220	49	(	(	PUNCT
cana-953	220	50	adas	adas	PROPN
cana-953	220	51	)	)	PUNCT
cana-953	220	52	,	,	PUNCT
cana-953	220	53	and	and	CCONJ
cana-953	220	54	clusterbased	clusterbase	VERB
cana-953	220	55	job	job	NOUN
cana-953	220	56	categorization	categorization	NOUN
cana-953	220	57	and	and	CCONJ
cana-953	220	58	scheduling	scheduling	NOUN
cana-953	220	59	(	(	PUNCT
cana-953	220	60	cjcs)—was	cjcs)—wa	VERB
cana-953	220	61	evaluated	evaluate	VERB
cana-953	220	62	using	use	VERB
cana-953	220	63	a	a	DET
cana-953	220	64	set	set	NOUN
cana-953	220	65	of	of	ADP
cana-953	220	66	defined	define	VERB
cana-953	220	67	metrics	metric	NOUN
cana-953	220	68	and	and	CCONJ
cana-953	220	69	a	a	DET
cana-953	220	70	specific	specific	ADJ
cana-953	220	71	dataset	dataset	NOUN
cana-953	220	72	with	with	ADP
cana-953	220	73	attributed	attribute	VERB
cana-953	220	74	values	value	NOUN
cana-953	220	75	.	.	PUNCT
cana-953	221	1	this	this	DET
cana-953	221	2	dataset	dataset	NOUN
cana-953	221	3	includes	include	VERB
cana-953	221	4	job	job	NOUN
cana-953	221	5	characteristics	characteristic	NOUN
cana-953	221	6	and	and	CCONJ
cana-953	221	7	system	system	NOUN
cana-953	221	8	performance	performance	NOUN
cana-953	221	9	indicators	indicator	NOUN
cana-953	221	10	designed	design	VERB
cana-953	221	11	to	to	PART
cana-953	221	12	represent	represent	VERB
cana-953	221	13	a	a	DET
cana-953	221	14	typical	typical	ADJ
cana-953	221	15	workload	workload	NOUN
cana-953	221	16	in	in	ADP
cana-953	221	17	a	a	DET
cana-953	221	18	distributed	distribute	VERB
cana-953	221	19	computing	computing	NOUN
cana-953	221	20	scenario	scenario	NOUN
cana-953	221	21	.	.	PUNCT
cana-953	222	1	each	each	DET
cana-953	222	2	model	model	NOUN
cana-953	222	3	processes	process	VERB
cana-953	222	4	the	the	DET
cana-953	222	5	data	datum	NOUN
cana-953	222	6	independently	independently	ADV
cana-953	222	7	to	to	PART
cana-953	222	8	showcase	showcase	VERB
cana-953	222	9	its	its	PRON
cana-953	222	10	unique	unique	ADJ
cana-953	222	11	contributions	contribution	NOUN
cana-953	222	12	to	to	ADP
cana-953	222	13	the	the	DET
cana-953	222	14	scheduling	scheduling	NOUN
cana-953	222	15	framework	framework	NOUN
cana-953	222	16	,	,	PUNCT
cana-953	222	17	and	and	CCONJ
cana-953	222	18	the	the	DET
cana-953	222	19	results	result	NOUN
cana-953	222	20	are	be	AUX
cana-953	222	21	then	then	ADV
cana-953	222	22	integrated	integrate	VERB
cana-953	222	23	to	to	PART
cana-953	222	24	demonstrate	demonstrate	VERB
cana-953	222	25	the	the	DET
cana-953	222	26	combined	combine	VERB
cana-953	222	27	impact	impact	NOUN
cana-953	222	28	on	on	ADP
cana-953	222	29	system	system	NOUN
cana-953	222	30	performance	performance	NOUN
cana-953	222	31	.	.	PUNCT
cana-953	223	1	table	table	NOUN
cana-953	223	2	8	8	NUM
cana-953	223	3	:	:	PUNCT
cana-953	223	4	output	output	NOUN
cana-953	223	5	from	from	ADP
cana-953	223	6	deep	deep	ADJ
cana-953	223	7	reinforcement	reinforcement	NOUN
cana-953	223	8	learning	learning	NOUN
cana-953	223	9	for	for	ADP
cana-953	223	10	dynamic	dynamic	ADJ
cana-953	223	11	job	job	NOUN
cana-953	223	12	scheduling	scheduling	NOUN
cana-953	223	13	(	(	PUNCT
cana-953	223	14	drdjs	drdjs	ADJ
cana-953	223	15	)	)	PUNCT
cana-953	223	16	job	job	NOUN
cana-953	224	1	i	i	PRON
cana-953	224	2	d	d	NOUN
cana-953	224	3	cpu	cpu	VERB
cana-953	224	4	load	load	NOUN
cana-953	224	5	before	before	ADV
cana-953	224	6	(	(	PUNCT
cana-953	224	7	%	%	INTJ
cana-953	224	8	)	)	PUNCT
cana-953	224	9	memory	memory	NOUN
cana-953	224	10	usage	usage	NOUN
cana-953	224	11	before	before	ADP
cana-953	224	12	(	(	PUNCT
cana-953	224	13	%	%	INTJ
cana-953	224	14	)	)	PUNCT
cana-953	224	15	job	job	NOUN
cana-953	224	16	priority	priority	NOUN
cana-953	224	17	cpu	cpu	NOUN
cana-953	224	18	load	load	NOUN
cana-953	224	19	after	after	ADP
cana-953	224	20	(	(	PUNCT
cana-953	224	21	%	%	INTJ
cana-953	224	22	)	)	PUNCT
cana-953	224	23	memory	memory	NOUN
cana-953	224	24	usage	usage	NOUN
cana-953	224	25	after	after	ADP
cana-953	224	26	(	(	PUNCT
cana-953	224	27	%	%	INTJ
cana-953	224	28	)	)	PUNCT
cana-953	224	29	job	job	NOUN
cana-953	224	30	completion	completion	NOUN
cana-953	224	31	timestamp	timestamp	NOUN
cana-953	224	32	(	(	PUNCT
cana-953	224	33	s	s	X
cana-953	224	34	)	)	PUNCT
cana-953	224	35	j101	j101	PROPN
cana-953	224	36	65	65	NUM
cana-953	224	37	70	70	NUM
cana-953	224	38	high	high	ADJ
cana-953	224	39	55	55	NUM
cana-953	224	40	60	60	NUM
cana-953	224	41	90	90	NUM
cana-953	224	42	j102	j102	NUM
cana-953	224	43	75	75	NUM
cana-953	224	44	80	80	NUM
cana-953	224	45	medium	medium	NOUN
cana-953	224	46	65	65	NUM
cana-953	224	47	70	70	NUM
cana-953	224	48	120	120	NUM
cana-953	224	49	j103	j103	PROPN
cana-953	224	50	50	50	NUM
cana-953	224	51	55	55	NUM
cana-953	224	52	low	low	ADJ
cana-953	224	53	45	45	NUM
cana-953	224	54	50	50	NUM
cana-953	224	55	80	80	NUM
cana-953	224	56	table	table	NOUN
cana-953	224	57	8	8	NUM
cana-953	224	58	illustrates	illustrate	VERB
cana-953	224	59	how	how	SCONJ
cana-953	224	60	drdjs	drdjs	NOUN
cana-953	224	61	optimizes	optimize	VERB
cana-953	224	62	resource	resource	NOUN
cana-953	224	63	allocation	allocation	NOUN
cana-953	224	64	based	base	VERB
cana-953	224	65	on	on	ADP
cana-953	224	66	the	the	DET
cana-953	224	67	job	job	NOUN
cana-953	224	68	's	's	PART
cana-953	224	69	priority	priority	NOUN
cana-953	224	70	and	and	CCONJ
cana-953	224	71	current	current	ADJ
cana-953	224	72	system	system	NOUN
cana-953	224	73	load	load	NOUN
cana-953	224	74	,	,	PUNCT
cana-953	224	75	leading	lead	VERB
cana-953	224	76	to	to	ADP
cana-953	224	77	improved	improved	ADJ
cana-953	224	78	cpu	cpu	NOUN
cana-953	224	79	and	and	CCONJ
cana-953	224	80	memory	memory	NOUN
cana-953	224	81	usage	usage	NOUN
cana-953	224	82	and	and	CCONJ
cana-953	224	83	reduced	reduce	VERB
cana-953	224	84	job	job	NOUN
cana-953	224	85	completion	completion	NOUN
cana-953	224	86	delays	delay	NOUN
cana-953	224	87	.	.	PUNCT
cana-953	225	1	table	table	NOUN
cana-953	225	2	9	9	NUM
cana-953	225	3	:	:	PUNCT
cana-953	225	4	output	output	NOUN
cana-953	225	5	from	from	ADP
cana-953	225	6	anomaly	anomaly	PROPN
cana-953	225	7	detection	detection	NOUN
cana-953	225	8	-	-	PUNCT
cana-953	225	9	driven	drive	VERB
cana-953	225	10	adaptive	adaptive	ADJ
cana-953	225	11	scheduling	scheduling	NOUN
cana-953	225	12	(	(	PUNCT
cana-953	225	13	adas	adas	PROPN
cana-953	225	14	)	)	PUNCT
cana-953	225	15	timestamp	timestamp	NOUN
cana-953	225	16	system	system	NOUN
cana-953	225	17	load	load	NOUN
cana-953	225	18	(	(	PUNCT
cana-953	225	19	%	%	NOUN
cana-953	225	20	)	)	PUNCT
cana-953	225	21	anomaly	anomaly	NOUN
cana-953	225	22	detected	detect	VERB
cana-953	225	23	response	response	NOUN
cana-953	225	24	triggered	trigger	VERB
cana-953	225	25	new	new	ADJ
cana-953	225	26	priority	priority	NOUN
cana-953	225	27	allocation	allocation	NOUN
cana-953	225	28	t1	t1	NOUN
cana-953	225	29	80	80	NUM
cana-953	225	30	yes	yes	INTJ
cana-953	225	31	increase	increase	NOUN
cana-953	225	32	resources	resource	NOUN
cana-953	225	33	high	high	ADJ
cana-953	225	34	t2	t2	PROPN
cana-953	225	35	45	45	NUM
cana-953	225	36	no	no	DET
cana-953	225	37	none	none	NOUN
cana-953	225	38	normal	normal	ADJ
cana-953	225	39	t3	t3	NOUN
cana-953	225	40	90	90	NUM
cana-953	225	41	yes	yes	INTJ
cana-953	225	42	increase	increase	VERB
cana-953	225	43	resources	resource	NOUN
cana-953	225	44	critical	critical	ADJ
cana-953	225	45	table	table	NOUN
cana-953	225	46	9	9	NUM
cana-953	225	47	provides	provide	VERB
cana-953	225	48	an	an	DET
cana-953	225	49	overview	overview	NOUN
cana-953	225	50	of	of	ADP
cana-953	225	51	how	how	SCONJ
cana-953	225	52	adas	adas	PROPN
cana-953	225	53	identifies	identify	VERB
cana-953	225	54	anomalies	anomaly	NOUN
cana-953	225	55	in	in	ADP
cana-953	225	56	system	system	NOUN
cana-953	225	57	performance	performance	NOUN
cana-953	225	58	(	(	PUNCT
cana-953	225	59	e.g.	e.g.	ADV
cana-953	225	60	,	,	PUNCT
cana-953	225	61	high	high	ADJ
cana-953	225	62	system	system	NOUN
cana-953	225	63	load	load	NOUN
cana-953	225	64	)	)	PUNCT
cana-953	225	65	and	and	CCONJ
cana-953	225	66	dynamically	dynamically	ADV
cana-953	225	67	adjusts	adjust	VERB
cana-953	225	68	resource	resource	NOUN
cana-953	225	69	allocation	allocation	NOUN
cana-953	225	70	to	to	PART
cana-953	225	71	ensure	ensure	VERB
cana-953	225	72	the	the	DET
cana-953	225	73	stability	stability	NOUN
cana-953	225	74	and	and	CCONJ
cana-953	225	75	efficiency	efficiency	NOUN
cana-953	225	76	of	of	ADP
cana-953	225	77	job	job	NOUN
cana-953	225	78	processing	processing	NOUN
cana-953	225	79	.	.	PUNCT
cana-953	226	1	table	table	NOUN
cana-953	226	2	10	10	NUM
cana-953	226	3	:	:	PUNCT
cana-953	226	4	output	output	NOUN
cana-953	226	5	from	from	ADP
cana-953	226	6	cluster	cluster	NOUN
cana-953	226	7	-	-	PUNCT
cana-953	226	8	based	base	VERB
cana-953	226	9	job	job	NOUN
cana-953	226	10	categorization	categorization	NOUN
cana-953	226	11	and	and	CCONJ
cana-953	226	12	scheduling	scheduling	NOUN
cana-953	226	13	(	(	PUNCT
cana-953	226	14	cjcs	cjcs	NOUN
cana-953	226	15	)	)	PUNCT
cana-953	226	16	job	job	NOUN
cana-953	226	17	i	i	NOUN
cana-953	226	18	d	d	PROPN
cana-953	226	19	resource	resource	NOUN
cana-953	226	20	demand	demand	NOUN
cana-953	226	21	cluster	cluster	NOUN
cana-953	226	22	assigned	assign	VERB
cana-953	226	23	allocated	allocate	VERB
cana-953	226	24	cpu	cpu	NOUN
cana-953	226	25	(	(	PUNCT
cana-953	226	26	%	%	INTJ
cana-953	226	27	)	)	PUNCT
cana-953	226	28	allocated	allocate	VERB
cana-953	226	29	memory	memory	NOUN
cana-953	226	30	(	(	PUNCT
cana-953	226	31	%	%	INTJ
cana-953	226	32	)	)	PUNCT
cana-953	226	33	expected	expect	VERB
cana-953	226	34	completion	completion	NOUN
cana-953	226	35	timestamp	timestamp	NOUN
cana-953	226	36	(	(	PUNCT
cana-953	226	37	s	s	NOUN
cana-953	226	38	)	)	PUNCT
cana-953	226	39	j201	j201	ADJ
cana-953	226	40	high	high	ADJ
cana-953	226	41	c1	c1	NOUN
cana-953	226	42	70	70	NUM
cana-953	226	43	75	75	NUM
cana-953	226	44	100	100	NUM
cana-953	226	45	j202	j202	PROPN
cana-953	226	46	medium	medium	ADJ
cana-953	226	47	c2	c2	PROPN
cana-953	226	48	60	60	NUM
cana-953	226	49	65	65	NUM
cana-953	226	50	150	150	NUM
cana-953	226	51	j203	j203	PROPN
cana-953	226	52	low	low	ADJ
cana-953	226	53	c3	c3	NOUN
cana-953	226	54	50	50	NUM
cana-953	226	55	55	55	NUM
cana-953	226	56	200	200	NUM
cana-953	226	57	table	table	NOUN
cana-953	226	58	10	10	NUM
cana-953	226	59	demonstrates	demonstrate	VERB
cana-953	226	60	cjcs	cjc	NOUN
cana-953	226	61	's	's	PART
cana-953	226	62	capability	capability	NOUN
cana-953	226	63	to	to	PART
cana-953	226	64	categorize	categorize	VERB
cana-953	226	65	jobs	job	NOUN
cana-953	226	66	into	into	ADP
cana-953	226	67	clusters	cluster	NOUN
cana-953	226	68	based	base	VERB
cana-953	226	69	on	on	ADP
cana-953	226	70	their	their	PRON
cana-953	226	71	resource	resource	NOUN
cana-953	226	72	demands	demand	NOUN
cana-953	226	73	and	and	CCONJ
cana-953	226	74	assign	assign	VERB
cana-953	226	75	appropriate	appropriate	ADJ
cana-953	226	76	resources	resource	NOUN
cana-953	226	77	,	,	PUNCT
cana-953	226	78	optimizing	optimize	VERB
cana-953	226	79	the	the	DET
cana-953	226	80	scheduling	scheduling	NOUN
cana-953	226	81	process	process	NOUN
cana-953	226	82	to	to	PART
cana-953	226	83	enhance	enhance	VERB
cana-953	226	84	job	job	NOUN
cana-953	226	85	completion	completion	NOUN
cana-953	226	86	times	time	NOUN
cana-953	226	87	based	base	VERB
cana-953	226	88	on	on	ADP
cana-953	226	89	the	the	DET
cana-953	226	90	cluster	cluster	NOUN
cana-953	226	91	characteristics	characteristic	NOUN
cana-953	226	92	.	.	PUNCT
cana-953	227	1	communications	communication	NOUN
cana-953	227	2	on	on	ADP
cana-953	227	3	applied	apply	VERB
cana-953	227	4	nonlinear	nonlinear	ADJ
cana-953	227	5	analysis	analysis	NOUN
cana-953	227	6	issn	issn	NOUN
cana-953	227	7	:	:	PUNCT
cana-953	227	8	1074	1074	NUM
cana-953	227	9	-	-	PUNCT
cana-953	227	10	133x	133x	NUM
cana-953	227	11	vol	vol	NOUN
cana-953	227	12	31	31	NUM
cana-953	227	13	no	no	NOUN
cana-953	227	14	.	.	PUNCT
cana-953	228	1	4s	4s	NUM
cana-953	228	2	(	(	PUNCT
cana-953	228	3	2024	2024	NUM
cana-953	228	4	)	)	PUNCT
cana-953	228	5	616	616	NUM
cana-953	228	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	228	7	table	table	NOUN
cana-953	228	8	11	11	NUM
cana-953	228	9	:	:	PUNCT
cana-953	228	10	final	final	ADJ
cana-953	228	11	integrated	integrate	VERB
cana-953	228	12	outputs	output	NOUN
cana-953	228	13	from	from	ADP
cana-953	228	14	the	the	DET
cana-953	228	15	proposed	propose	VERB
cana-953	228	16	scheduling	scheduling	NOUN
cana-953	228	17	framework	framework	NOUN
cana-953	228	18	job	job	NOUN
cana-953	228	19	i	i	PROPN
cana-953	228	20	d	d	PROPN
cana-953	228	21	initial	initial	ADJ
cana-953	228	22	cpu	cpu	NOUN
cana-953	228	23	load	load	NOUN
cana-953	228	24	(	(	PUNCT
cana-953	228	25	%	%	INTJ
cana-953	228	26	)	)	PUNCT
cana-953	228	27	initial	initial	ADJ
cana-953	228	28	memory	memory	NOUN
cana-953	228	29	usage	usage	NOUN
cana-953	228	30	(	(	PUNCT
cana-953	228	31	%	%	INTJ
cana-953	228	32	)	)	PUNCT
cana-953	228	33	final	final	ADJ
cana-953	228	34	cpu	cpu	NOUN
cana-953	228	35	load	load	NOUN
cana-953	228	36	(	(	PUNCT
cana-953	228	37	%	%	INTJ
cana-953	228	38	)	)	PUNCT
cana-953	228	39	final	final	ADJ
cana-953	228	40	memory	memory	NOUN
cana-953	228	41	usage	usage	NOUN
cana-953	228	42	(	(	PUNCT
cana-953	228	43	%	%	INTJ
cana-953	228	44	)	)	PUNCT
cana-953	228	45	total	total	ADJ
cana-953	228	46	job	job	NOUN
cana-953	228	47	completion	completion	NOUN
cana-953	228	48	timestamp	timestamp	NOUN
cana-953	228	49	(	(	PUNCT
cana-953	228	50	s	s	NOUN
cana-953	228	51	)	)	PUNCT
cana-953	228	52	j301	j301	PROPN
cana-953	228	53	85	85	NUM
cana-953	228	54	90	90	NUM
cana-953	228	55	55	55	NUM
cana-953	228	56	60	60	NUM
cana-953	228	57	85	85	NUM
cana-953	228	58	j302	j302	PROPN
cana-953	228	59	60	60	NUM
cana-953	228	60	65	65	NUM
cana-953	228	61	45	45	NUM
cana-953	228	62	50	50	NUM
cana-953	228	63	70	70	NUM
cana-953	228	64	j303	j303	PROPN
cana-953	228	65	70	70	NUM
cana-953	228	66	75	75	NUM
cana-953	228	67	50	50	NUM
cana-953	228	68	55	55	NUM
cana-953	228	69	60	60	NUM
cana-953	228	70	table	table	NOUN
cana-953	228	71	11	11	NUM
cana-953	228	72	encapsulates	encapsulate	VERB
cana-953	228	73	the	the	DET
cana-953	228	74	overall	overall	ADJ
cana-953	228	75	efficiency	efficiency	NOUN
cana-953	228	76	of	of	ADP
cana-953	228	77	the	the	DET
cana-953	228	78	integrated	integrate	VERB
cana-953	228	79	scheduling	scheduling	NOUN
cana-953	228	80	framework	framework	NOUN
cana-953	228	81	,	,	PUNCT
cana-953	228	82	demonstrating	demonstrate	VERB
cana-953	228	83	significant	significant	ADJ
cana-953	228	84	improvements	improvement	NOUN
cana-953	228	85	in	in	ADP
cana-953	228	86	cpu	cpu	NOUN
cana-953	228	87	and	and	CCONJ
cana-953	228	88	memory	memory	NOUN
cana-953	228	89	utilization	utilization	NOUN
cana-953	228	90	and	and	CCONJ
cana-953	228	91	reductions	reduction	NOUN
cana-953	228	92	in	in	ADP
cana-953	228	93	job	job	NOUN
cana-953	228	94	completion	completion	NOUN
cana-953	228	95	times	time	NOUN
cana-953	228	96	,	,	PUNCT
cana-953	228	97	showcasing	showcase	VERB
cana-953	228	98	the	the	DET
cana-953	228	99	synergistic	synergistic	ADJ
cana-953	228	100	effect	effect	NOUN
cana-953	228	101	of	of	ADP
cana-953	228	102	combining	combine	VERB
cana-953	228	103	drdjs	drdjs	NOUN
cana-953	228	104	,	,	PUNCT
cana-953	228	105	adas	adas	PROPN
cana-953	228	106	,	,	PUNCT
cana-953	228	107	and	and	CCONJ
cana-953	228	108	cjcs	cjc	NOUN
cana-953	228	109	in	in	ADP
cana-953	228	110	a	a	DET
cana-953	228	111	unified	unified	ADJ
cana-953	228	112	operational	operational	ADJ
cana-953	228	113	model	model	NOUN
cana-953	228	114	process	process	NOUN
cana-953	228	115	.	.	PUNCT
cana-953	229	1	the	the	DET
cana-953	229	2	data	datum	NOUN
cana-953	229	3	presented	present	VERB
cana-953	229	4	in	in	ADP
cana-953	229	5	tables	table	NOUN
cana-953	229	6	8	8	NUM
cana-953	229	7	through	through	ADP
cana-953	229	8	11	11	NUM
cana-953	229	9	clearly	clearly	ADV
cana-953	229	10	indicate	indicate	VERB
cana-953	229	11	that	that	SCONJ
cana-953	229	12	each	each	DET
cana-953	229	13	component	component	NOUN
cana-953	229	14	of	of	ADP
cana-953	229	15	the	the	DET
cana-953	229	16	proposed	propose	VERB
cana-953	229	17	scheduling	scheduling	NOUN
cana-953	229	18	framework	framework	NOUN
cana-953	229	19	significantly	significantly	ADV
cana-953	229	20	contributes	contribute	VERB
cana-953	229	21	to	to	ADP
cana-953	229	22	enhancing	enhance	VERB
cana-953	229	23	the	the	DET
cana-953	229	24	overall	overall	ADJ
cana-953	229	25	system	system	NOUN
cana-953	229	26	performance	performance	NOUN
cana-953	229	27	.	.	PUNCT
cana-953	230	1	drdjs	drdjs	PROPN
cana-953	230	2	optimizes	optimize	VERB
cana-953	230	3	real	real	ADJ
cana-953	230	4	-	-	PUNCT
cana-953	230	5	time	time	NOUN
cana-953	230	6	resource	resource	NOUN
cana-953	230	7	allocation	allocation	NOUN
cana-953	230	8	,	,	PUNCT
cana-953	230	9	adas	adas	PROPN
cana-953	230	10	effectively	effectively	ADV
cana-953	230	11	manages	manage	VERB
cana-953	230	12	system	system	NOUN
cana-953	230	13	anomalies	anomaly	NOUN
cana-953	230	14	to	to	PART
cana-953	230	15	maintain	maintain	VERB
cana-953	230	16	performance	performance	NOUN
cana-953	230	17	stability	stability	NOUN
cana-953	230	18	,	,	PUNCT
cana-953	230	19	and	and	CCONJ
cana-953	230	20	cjcs	cjc	NOUN
cana-953	230	21	ensures	ensure	VERB
cana-953	230	22	jobs	job	NOUN
cana-953	230	23	are	be	AUX
cana-953	230	24	categorized	categorize	VERB
cana-953	230	25	and	and	CCONJ
cana-953	230	26	scheduled	schedule	VERB
cana-953	230	27	optimally	optimally	ADV
cana-953	230	28	according	accord	VERB
cana-953	230	29	to	to	ADP
cana-953	230	30	their	their	PRON
cana-953	230	31	specific	specific	ADJ
cana-953	230	32	needs	need	NOUN
cana-953	230	33	.	.	PUNCT
cana-953	231	1	when	when	SCONJ
cana-953	231	2	integrated	integrate	VERB
cana-953	231	3	,	,	PUNCT
cana-953	231	4	these	these	DET
cana-953	231	5	components	component	NOUN
cana-953	231	6	not	not	PART
cana-953	231	7	only	only	ADV
cana-953	231	8	improve	improve	VERB
cana-953	231	9	individual	individual	ADJ
cana-953	231	10	metrics	metric	NOUN
cana-953	231	11	such	such	ADJ
cana-953	231	12	as	as	ADP
cana-953	231	13	cpu	cpu	NOUN
cana-953	231	14	and	and	CCONJ
cana-953	231	15	memory	memory	NOUN
cana-953	231	16	usage	usage	NOUN
cana-953	231	17	and	and	CCONJ
cana-953	231	18	job	job	NOUN
cana-953	231	19	completion	completion	NOUN
cana-953	231	20	times	time	NOUN
cana-953	231	21	but	but	CCONJ
cana-953	231	22	also	also	ADV
cana-953	231	23	ensure	ensure	VERB
cana-953	231	24	that	that	SCONJ
cana-953	231	25	the	the	DET
cana-953	231	26	system	system	NOUN
cana-953	231	27	as	as	ADP
cana-953	231	28	a	a	DET
cana-953	231	29	whole	whole	NOUN
cana-953	231	30	operates	operate	VERB
cana-953	231	31	more	more	ADV
cana-953	231	32	efficiently	efficiently	ADV
cana-953	231	33	and	and	CCONJ
cana-953	231	34	resiliently	resiliently	ADV
cana-953	231	35	.	.	PUNCT
cana-953	232	1	this	this	DET
cana-953	232	2	collective	collective	ADJ
cana-953	232	3	improvement	improvement	NOUN
cana-953	232	4	underscores	underscore	VERB
cana-953	232	5	the	the	DET
cana-953	232	6	potential	potential	NOUN
cana-953	232	7	of	of	ADP
cana-953	232	8	advanced	advanced	ADJ
cana-953	232	9	scheduling	scheduling	NOUN
cana-953	232	10	techniques	technique	NOUN
cana-953	232	11	in	in	ADP
cana-953	232	12	transforming	transform	VERB
cana-953	232	13	the	the	DET
cana-953	232	14	operational	operational	ADJ
cana-953	232	15	dynamics	dynamic	NOUN
cana-953	232	16	of	of	ADP
cana-953	232	17	distributed	distribute	VERB
cana-953	232	18	computing	computing	NOUN
cana-953	232	19	environments	environment	NOUN
cana-953	232	20	.	.	PUNCT
cana-953	233	1	5	5	X
cana-953	233	2	.	.	X
cana-953	233	3	conclusion	conclusion	NOUN
cana-953	233	4	and	and	CCONJ
cana-953	233	5	future	future	ADJ
cana-953	233	6	scopes	scope	NOUN
cana-953	233	7	the	the	DET
cana-953	233	8	results	result	NOUN
cana-953	233	9	presented	present	VERB
cana-953	233	10	in	in	ADP
cana-953	233	11	this	this	DET
cana-953	233	12	study	study	NOUN
cana-953	233	13	demonstrate	demonstrate	VERB
cana-953	233	14	the	the	DET
cana-953	233	15	effectiveness	effectiveness	NOUN
cana-953	233	16	of	of	ADP
cana-953	233	17	the	the	DET
cana-953	233	18	proposed	propose	VERB
cana-953	233	19	scheduling	scheduling	NOUN
cana-953	233	20	framework	framework	NOUN
cana-953	233	21	comprising	comprise	VERB
cana-953	233	22	deep	deep	ADJ
cana-953	233	23	reinforcement	reinforcement	NOUN
cana-953	233	24	learning	learning	NOUN
cana-953	233	25	for	for	ADP
cana-953	233	26	dynamic	dynamic	ADJ
cana-953	233	27	job	job	NOUN
cana-953	233	28	scheduling	scheduling	NOUN
cana-953	233	29	(	(	PUNCT
cana-953	233	30	drdjs	drdjs	NOUN
cana-953	233	31	)	)	PUNCT
cana-953	233	32	,	,	PUNCT
cana-953	233	33	anomaly	anomaly	NOUN
cana-953	233	34	detection	detection	NOUN
cana-953	233	35	-	-	PUNCT
cana-953	233	36	driven	drive	VERB
cana-953	233	37	adaptive	adaptive	ADJ
cana-953	233	38	scheduling	scheduling	NOUN
cana-953	233	39	(	(	PUNCT
cana-953	233	40	adas	adas	PROPN
cana-953	233	41	)	)	PUNCT
cana-953	233	42	,	,	PUNCT
cana-953	233	43	and	and	CCONJ
cana-953	233	44	cluster	cluster	NOUN
cana-953	233	45	-	-	PUNCT
cana-953	233	46	based	base	VERB
cana-953	233	47	job	job	NOUN
cana-953	233	48	categorization	categorization	NOUN
cana-953	233	49	and	and	CCONJ
cana-953	233	50	scheduling	scheduling	NOUN
cana-953	233	51	(	(	PUNCT
cana-953	233	52	cjcs	cjcs	NOUN
cana-953	233	53	)	)	PUNCT
cana-953	233	54	in	in	ADP
cana-953	233	55	a	a	DET
cana-953	233	56	distributed	distribute	VERB
cana-953	233	57	computing	computing	NOUN
cana-953	233	58	environment	environment	NOUN
cana-953	233	59	.	.	PUNCT
cana-953	234	1	the	the	DET
cana-953	234	2	integrated	integrate	VERB
cana-953	234	3	framework	framework	NOUN
cana-953	234	4	substantially	substantially	ADV
cana-953	234	5	outperformed	outperform	VERB
cana-953	234	6	traditional	traditional	ADJ
cana-953	234	7	scheduling	scheduling	NOUN
cana-953	234	8	methods	method	NOUN
cana-953	234	9	[	[	X
cana-953	234	10	2	2	NUM
cana-953	234	11	]	]	PUNCT
cana-953	234	12	,	,	PUNCT
cana-953	234	13	[	[	X
cana-953	234	14	5	5	NUM
cana-953	234	15	]	]	PUNCT
cana-953	234	16	,	,	PUNCT
cana-953	234	17	and	and	CCONJ
cana-953	234	18	[	[	X
cana-953	234	19	15	15	NUM
cana-953	234	20	]	]	X
cana-953	234	21	,	,	PUNCT
cana-953	234	22	across	across	ADP
cana-953	234	23	various	various	ADJ
cana-953	234	24	metrics	metric	NOUN
cana-953	234	25	and	and	CCONJ
cana-953	234	26	workload	workload	NOUN
cana-953	234	27	scenarios	scenario	NOUN
cana-953	234	28	.	.	PUNCT
cana-953	235	1	in	in	ADP
cana-953	235	2	the	the	DET
cana-953	235	3	log	log	NOUN
cana-953	235	4	processing	processing	NOUN
cana-953	235	5	workload	workload	NOUN
cana-953	235	6	,	,	PUNCT
cana-953	235	7	the	the	DET
cana-953	235	8	proposed	propose	VERB
cana-953	235	9	model	model	NOUN
cana-953	235	10	reduced	reduce	VERB
cana-953	235	11	the	the	DET
cana-953	235	12	average	average	ADJ
cana-953	235	13	job	job	NOUN
cana-953	235	14	completion	completion	NOUN
cana-953	235	15	timestamp	timestamp	NOUN
cana-953	235	16	to	to	ADP
cana-953	235	17	55	55	NUM
cana-953	235	18	seconds	second	NOUN
cana-953	235	19	compared	compare	VERB
cana-953	235	20	to	to	ADP
cana-953	235	21	75	75	NUM
cana-953	235	22	,	,	PUNCT
cana-953	235	23	70	70	NUM
cana-953	235	24	,	,	PUNCT
cana-953	235	25	and	and	CCONJ
cana-953	235	26	85	85	NUM
cana-953	235	27	seconds	second	NOUN
cana-953	235	28	for	for	ADP
cana-953	235	29	methods	method	NOUN
cana-953	235	30	[	[	X
cana-953	235	31	2	2	NUM
cana-953	235	32	]	]	PUNCT
cana-953	235	33	,	,	PUNCT
cana-953	235	34	[	[	X
cana-953	235	35	5	5	NUM
cana-953	235	36	]	]	PUNCT
cana-953	235	37	,	,	PUNCT
cana-953	235	38	and	and	CCONJ
cana-953	235	39	[	[	X
cana-953	235	40	15	15	NUM
cana-953	235	41	]	]	PUNCT
cana-953	235	42	respectively	respectively	ADV
cana-953	235	43	,	,	PUNCT
cana-953	235	44	showcasing	showcase	VERB
cana-953	235	45	a	a	DET
cana-953	235	46	reduction	reduction	NOUN
cana-953	235	47	of	of	ADP
cana-953	235	48	up	up	ADP
cana-953	235	49	to	to	PART
cana-953	235	50	35	35	NUM
cana-953	235	51	%	%	NOUN
cana-953	235	52	.	.	PUNCT
cana-953	236	1	furthermore	furthermore	ADV
cana-953	236	2	,	,	PUNCT
cana-953	236	3	it	it	PRON
cana-953	236	4	improved	improve	VERB
cana-953	236	5	system	system	NOUN
cana-953	236	6	throughput	throughput	NOUN
cana-953	236	7	to	to	ADP
cana-953	236	8	650	650	NUM
cana-953	236	9	jobs	job	NOUN
cana-953	236	10	per	per	ADP
cana-953	236	11	hour	hour	NOUN
cana-953	236	12	,	,	PUNCT
cana-953	236	13	significantly	significantly	ADV
cana-953	236	14	higher	high	ADJ
cana-953	236	15	than	than	ADP
cana-953	236	16	the	the	DET
cana-953	236	17	480	480	NUM
cana-953	236	18	,	,	PUNCT
cana-953	236	19	500	500	NUM
cana-953	236	20	,	,	PUNCT
cana-953	236	21	and	and	CCONJ
cana-953	236	22	425	425	NUM
cana-953	236	23	jobs	job	NOUN
cana-953	236	24	per	per	ADP
cana-953	236	25	hour	hour	NOUN
cana-953	236	26	processed	process	VERB
cana-953	236	27	by	by	ADP
cana-953	236	28	the	the	DET
cana-953	236	29	comparative	comparative	ADJ
cana-953	236	30	methods	method	NOUN
cana-953	236	31	.	.	PUNCT
cana-953	237	1	such	such	ADJ
cana-953	237	2	enhancements	enhancement	NOUN
cana-953	237	3	underscore	underscore	VERB
cana-953	237	4	the	the	DET
cana-953	237	5	framework	framework	NOUN
cana-953	237	6	's	's	PART
cana-953	237	7	capability	capability	NOUN
cana-953	237	8	to	to	PART
cana-953	237	9	handle	handle	VERB
cana-953	237	10	large	large	ADJ
cana-953	237	11	-	-	PUNCT
cana-953	237	12	scale	scale	NOUN
cana-953	237	13	data	datum	NOUN
cana-953	237	14	efficiently	efficiently	ADV
cana-953	237	15	while	while	SCONJ
cana-953	237	16	minimizing	minimize	VERB
cana-953	237	17	processing	processing	NOUN
cana-953	237	18	time	time	NOUN
cana-953	237	19	.	.	PUNCT
cana-953	238	1	for	for	ADP
cana-953	238	2	the	the	DET
cana-953	238	3	image	image	NOUN
cana-953	238	4	processing	processing	NOUN
cana-953	238	5	workload	workload	NOUN
cana-953	238	6	,	,	PUNCT
cana-953	238	7	the	the	DET
cana-953	238	8	model	model	NOUN
cana-953	238	9	exhibited	exhibit	VERB
cana-953	238	10	a	a	DET
cana-953	238	11	remarkable	remarkable	ADJ
cana-953	238	12	reduction	reduction	NOUN
cana-953	238	13	in	in	ADP
cana-953	238	14	average	average	ADJ
cana-953	238	15	job	job	NOUN
cana-953	238	16	completion	completion	NOUN
cana-953	238	17	timestamp	timestamp	NOUN
cana-953	238	18	to	to	ADP
cana-953	238	19	120	120	NUM
cana-953	238	20	seconds	second	NOUN
cana-953	238	21	,	,	PUNCT
cana-953	238	22	outperforming	outperform	VERB
cana-953	238	23	the	the	DET
cana-953	238	24	other	other	ADJ
cana-953	238	25	methods	method	NOUN
cana-953	238	26	by	by	ADP
cana-953	238	27	20	20	NUM
cana-953	238	28	%	%	NOUN
cana-953	238	29	to	to	PART
cana-953	238	30	25	25	NUM
cana-953	238	31	%	%	NOUN
cana-953	238	32	.	.	PUNCT
cana-953	239	1	the	the	DET
cana-953	239	2	resource	resource	NOUN
cana-953	239	3	utilization	utilization	NOUN
cana-953	239	4	efficiency	efficiency	NOUN
cana-953	239	5	in	in	ADP
cana-953	239	6	this	this	DET
cana-953	239	7	workload	workload	NOUN
cana-953	239	8	demonstrated	demonstrate	VERB
cana-953	239	9	the	the	DET
cana-953	239	10	framework	framework	NOUN
cana-953	239	11	's	's	PART
cana-953	239	12	ability	ability	NOUN
cana-953	239	13	to	to	PART
cana-953	239	14	manage	manage	VERB
cana-953	239	15	high	high	ADJ
cana-953	239	16	-	-	PUNCT
cana-953	239	17	resourcedemand	resourcedemand	NOUN
cana-953	239	18	tasks	task	NOUN
cana-953	239	19	effectively	effectively	ADV
cana-953	239	20	,	,	PUNCT
cana-953	239	21	achieving	achieve	VERB
cana-953	239	22	85	85	NUM
cana-953	239	23	%	%	NOUN
cana-953	239	24	cpu	cpu	NOUN
cana-953	239	25	and	and	CCONJ
cana-953	239	26	90	90	NUM
cana-953	239	27	%	%	NOUN
cana-953	239	28	memory	memory	NOUN
cana-953	239	29	utilization	utilization	NOUN
cana-953	239	30	,	,	PUNCT
cana-953	239	31	which	which	PRON
cana-953	239	32	is	be	AUX
cana-953	239	33	a	a	DET
cana-953	239	34	notable	notable	ADJ
cana-953	239	35	improvement	improvement	NOUN
cana-953	239	36	over	over	ADP
cana-953	239	37	the	the	DET
cana-953	239	38	other	other	ADJ
cana-953	239	39	methods	method	NOUN
cana-953	239	40	.	.	PUNCT
cana-953	240	1	in	in	ADP
cana-953	240	2	scenarios	scenario	NOUN
cana-953	240	3	involving	involve	VERB
cana-953	240	4	high	high	ADJ
cana-953	240	5	-	-	PUNCT
cana-953	240	6	frequency	frequency	NOUN
cana-953	240	7	,	,	PUNCT
cana-953	240	8	low	low	ADJ
cana-953	240	9	-	-	PUNCT
cana-953	240	10	latency	latency	NOUN
cana-953	240	11	tasks	task	NOUN
cana-953	240	12	such	such	ADJ
cana-953	240	13	as	as	ADP
cana-953	240	14	the	the	DET
cana-953	240	15	financial	financial	ADJ
cana-953	240	16	transactions	transaction	NOUN
cana-953	240	17	workload	workload	NOUN
cana-953	240	18	,	,	PUNCT
cana-953	240	19	the	the	DET
cana-953	240	20	proposed	propose	VERB
cana-953	240	21	model	model	NOUN
cana-953	240	22	processed	process	VERB
cana-953	240	23	up	up	ADP
cana-953	240	24	to	to	ADP
cana-953	240	25	1,200,000	1,200,000	NUM
cana-953	240	26	transactions	transaction	NOUN
cana-953	240	27	per	per	ADP
cana-953	240	28	hour	hour	NOUN
cana-953	240	29	,	,	PUNCT
cana-953	240	30	far	far	ADV
cana-953	240	31	surpassing	surpass	VERB
cana-953	240	32	the	the	DET
cana-953	240	33	900,000	900,000	NUM
cana-953	240	34	,	,	PUNCT
cana-953	240	35	950,000	950,000	NUM
cana-953	240	36	,	,	PUNCT
cana-953	240	37	and	and	CCONJ
cana-953	240	38	850,000	850,000	NUM
cana-953	240	39	transactions	transaction	NOUN
cana-953	240	40	managed	manage	VERB
cana-953	240	41	by	by	ADP
cana-953	240	42	methods	method	NOUN
cana-953	240	43	[	[	X
cana-953	240	44	2	2	NUM
cana-953	240	45	]	]	PUNCT
cana-953	240	46	,	,	PUNCT
cana-953	240	47	[	[	X
cana-953	240	48	5	5	NUM
cana-953	240	49	]	]	PUNCT
cana-953	240	50	,	,	PUNCT
cana-953	240	51	and	and	CCONJ
cana-953	240	52	[	[	X
cana-953	240	53	15	15	NUM
cana-953	240	54	]	]	PUNCT
cana-953	240	55	.	.	PUNCT
cana-953	241	1	this	this	PRON
cana-953	241	2	not	not	PART
cana-953	241	3	only	only	ADV
cana-953	241	4	illustrates	illustrate	VERB
cana-953	241	5	the	the	DET
cana-953	241	6	communications	communication	NOUN
cana-953	241	7	on	on	ADP
cana-953	241	8	applied	apply	VERB
cana-953	241	9	nonlinear	nonlinear	ADJ
cana-953	241	10	analysis	analysis	NOUN
cana-953	241	11	issn	issn	NOUN
cana-953	241	12	:	:	PUNCT
cana-953	241	13	1074	1074	NUM
cana-953	241	14	-	-	PUNCT
cana-953	241	15	133x	133x	NUM
cana-953	241	16	vol	vol	NOUN
cana-953	241	17	31	31	NUM
cana-953	241	18	no	no	NOUN
cana-953	241	19	.	.	PUNCT
cana-953	242	1	4s	4s	NUM
cana-953	242	2	(	(	PUNCT
cana-953	242	3	2024	2024	NUM
cana-953	242	4	)	)	PUNCT
cana-953	242	5	617	617	NUM
cana-953	242	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-953	242	7	model	model	NOUN
cana-953	242	8	's	's	PART
cana-953	242	9	superior	superior	ADJ
cana-953	242	10	performance	performance	NOUN
cana-953	242	11	in	in	ADP
cana-953	242	12	terms	term	NOUN
cana-953	242	13	of	of	ADP
cana-953	242	14	throughput	throughput	NOUN
cana-953	242	15	but	but	CCONJ
cana-953	242	16	also	also	ADV
cana-953	242	17	highlights	highlight	VERB
cana-953	242	18	its	its	PRON
cana-953	242	19	robustness	robustness	NOUN
cana-953	242	20	in	in	ADP
cana-953	242	21	maintaining	maintain	VERB
cana-953	242	22	high	high	ADJ
cana-953	242	23	resource	resource	NOUN
cana-953	242	24	utilization	utilization	NOUN
cana-953	242	25	rates	rate	NOUN
cana-953	242	26	under	under	ADP
cana-953	242	27	intensive	intensive	ADJ
cana-953	242	28	workloads	workload	NOUN
cana-953	242	29	.	.	PUNCT
cana-953	243	1	future	future	ADJ
cana-953	243	2	scope	scope	NOUN
cana-953	243	3	the	the	DET
cana-953	243	4	promising	promising	ADJ
cana-953	243	5	results	result	NOUN
cana-953	243	6	of	of	ADP
cana-953	243	7	this	this	DET
cana-953	243	8	framework	framework	NOUN
cana-953	243	9	open	open	VERB
cana-953	243	10	numerous	numerous	ADJ
cana-953	243	11	avenues	avenue	NOUN
cana-953	243	12	for	for	ADP
cana-953	243	13	future	future	ADJ
cana-953	243	14	research	research	NOUN
cana-953	243	15	.	.	PUNCT
cana-953	244	1	one	one	NUM
cana-953	244	2	potential	potential	ADJ
cana-953	244	3	area	area	NOUN
cana-953	244	4	of	of	ADP
cana-953	244	5	development	development	NOUN
cana-953	244	6	is	be	AUX
cana-953	244	7	the	the	DET
cana-953	244	8	exploration	exploration	NOUN
cana-953	244	9	of	of	ADP
cana-953	244	10	even	even	ADV
cana-953	244	11	more	more	ADV
cana-953	244	12	sophisticated	sophisticated	ADJ
cana-953	244	13	machine	machine	NOUN
cana-953	244	14	learning	learn	VERB
cana-953	244	15	algorithms	algorithm	NOUN
cana-953	244	16	for	for	ADP
cana-953	244	17	job	job	NOUN
cana-953	244	18	categorization	categorization	NOUN
cana-953	244	19	and	and	CCONJ
cana-953	244	20	anomaly	anomaly	NOUN
cana-953	244	21	detection	detection	NOUN
cana-953	244	22	,	,	PUNCT
cana-953	244	23	which	which	PRON
cana-953	244	24	could	could	AUX
cana-953	244	25	further	far	ADV
cana-953	244	26	refine	refine	VERB
cana-953	244	27	the	the	DET
cana-953	244	28	adaptability	adaptability	NOUN
cana-953	244	29	and	and	CCONJ
cana-953	244	30	efficiency	efficiency	NOUN
cana-953	244	31	of	of	ADP
cana-953	244	32	the	the	DET
cana-953	244	33	scheduling	scheduling	NOUN
cana-953	244	34	processes	process	NOUN
cana-953	244	35	.	.	PUNCT
cana-953	245	1	moreover	moreover	ADV
cana-953	245	2	,	,	PUNCT
cana-953	245	3	incorporating	incorporate	VERB
cana-953	245	4	additional	additional	ADJ
cana-953	245	5	predictive	predictive	ADJ
cana-953	245	6	capabilities	capability	NOUN
cana-953	245	7	into	into	ADP
cana-953	245	8	the	the	DET
cana-953	245	9	model	model	NOUN
cana-953	245	10	could	could	AUX
cana-953	245	11	pre	pre	VERB
cana-953	245	12	-	-	ADJ
cana-953	245	13	emptively	emptively	ADV
cana-953	245	14	optimize	optimize	VERB
cana-953	245	15	resource	resource	NOUN
cana-953	245	16	allocation	allocation	NOUN
cana-953	245	17	and	and	CCONJ
cana-953	245	18	job	job	NOUN
cana-953	245	19	scheduling	scheduling	NOUN
cana-953	245	20	,	,	PUNCT
cana-953	245	21	potentially	potentially	ADV
cana-953	245	22	reducing	reduce	VERB
cana-953	245	23	job	job	NOUN
cana-953	245	24	completion	completion	NOUN
cana-953	245	25	times	time	NOUN
cana-953	245	26	even	even	ADV
cana-953	245	27	further	far	ADV
cana-953	245	28	.	.	PUNCT
cana-953	246	1	further	further	ADJ
cana-953	246	2	exploration	exploration	NOUN
cana-953	246	3	into	into	ADP
cana-953	246	4	hybrid	hybrid	ADJ
cana-953	246	5	models	model	NOUN
cana-953	246	6	that	that	PRON
cana-953	246	7	integrate	integrate	VERB
cana-953	246	8	other	other	ADJ
cana-953	246	9	forms	form	NOUN
cana-953	246	10	of	of	ADP
cana-953	246	11	reinforcement	reinforcement	NOUN
cana-953	246	12	learning	learning	NOUN
cana-953	246	13	,	,	PUNCT
cana-953	246	14	such	such	ADJ
cana-953	246	15	as	as	ADP
cana-953	246	16	actor	actor	NOUN
cana-953	246	17	-	-	PUNCT
cana-953	246	18	critic	critic	NOUN
cana-953	246	19	methods	method	NOUN
cana-953	246	20	,	,	PUNCT
cana-953	246	21	could	could	AUX
cana-953	246	22	provide	provide	VERB
cana-953	246	23	deeper	deep	ADJ
cana-953	246	24	insights	insight	NOUN
cana-953	246	25	into	into	ADP
cana-953	246	26	the	the	DET
cana-953	246	27	trade	trade	NOUN
cana-953	246	28	-	-	PUNCT
cana-953	246	29	offs	off	NOUN
cana-953	246	30	between	between	ADP
cana-953	246	31	exploration	exploration	NOUN
cana-953	246	32	and	and	CCONJ
cana-953	246	33	exploitation	exploitation	NOUN
cana-953	246	34	,	,	PUNCT
cana-953	246	35	leading	lead	VERB
cana-953	246	36	to	to	ADP
cana-953	246	37	even	even	ADV
cana-953	246	38	more	more	ADV
cana-953	246	39	refined	refined	ADJ
cana-953	246	40	scheduling	scheduling	NOUN
cana-953	246	41	policies	policy	NOUN
cana-953	246	42	.	.	PUNCT
cana-953	247	1	additionally	additionally	ADV
cana-953	247	2	,	,	PUNCT
cana-953	247	3	expanding	expand	VERB
cana-953	247	4	the	the	DET
cana-953	247	5	framework	framework	NOUN
cana-953	247	6	to	to	PART
cana-953	247	7	accommodate	accommodate	VERB
cana-953	247	8	edge	edge	NOUN
cana-953	247	9	computing	compute	VERB
cana-953	247	10	scenarios	scenario	NOUN
cana-953	247	11	where	where	SCONJ
cana-953	247	12	data	datum	NOUN
cana-953	247	13	processing	processing	NOUN
cana-953	247	14	and	and	CCONJ
cana-953	247	15	resource	resource	NOUN
cana-953	247	16	allocation	allocation	NOUN
cana-953	247	17	decisions	decision	NOUN
cana-953	247	18	need	need	VERB
cana-953	247	19	to	to	PART
cana-953	247	20	be	be	AUX
cana-953	247	21	made	make	VERB
cana-953	247	22	closer	close	ADJ
cana-953	247	23	to	to	ADP
cana-953	247	24	the	the	DET
cana-953	247	25	data	data	NOUN
cana-953	247	26	source	source	NOUN
cana-953	247	27	could	could	AUX
cana-953	247	28	dramatically	dramatically	ADV
cana-953	247	29	increase	increase	VERB
cana-953	247	30	the	the	DET
cana-953	247	31	relevance	relevance	NOUN
cana-953	247	32	and	and	CCONJ
cana-953	247	33	applicability	applicability	NOUN
cana-953	247	34	of	of	ADP
cana-953	247	35	the	the	DET
cana-953	247	36	scheduling	scheduling	NOUN
cana-953	247	37	framework	framework	NOUN
cana-953	247	38	in	in	ADP
cana-953	247	39	modern	modern	ADJ
cana-953	247	40	distributed	distribute	VERB
cana-953	247	41	architectures	architecture	NOUN
cana-953	247	42	.	.	PUNCT
cana-953	248	1	finally	finally	ADV
cana-953	248	2	,	,	PUNCT
cana-953	248	3	the	the	DET
cana-953	248	4	impact	impact	NOUN
cana-953	248	5	of	of	ADP
cana-953	248	6	real	real	ADJ
cana-953	248	7	-	-	PUNCT
cana-953	248	8	time	time	NOUN
cana-953	248	9	data	datum	NOUN
cana-953	248	10	analytics	analytic	NOUN
cana-953	248	11	on	on	ADP
cana-953	248	12	scheduling	scheduling	NOUN
cana-953	248	13	decisions	decision	NOUN
cana-953	248	14	presents	present	VERB
cana-953	248	15	a	a	DET
cana-953	248	16	fruitful	fruitful	ADJ
cana-953	248	17	area	area	NOUN
cana-953	248	18	for	for	ADP
cana-953	248	19	research	research	NOUN
cana-953	248	20	,	,	PUNCT
cana-953	248	21	where	where	SCONJ
cana-953	248	22	live	live	ADJ
cana-953	248	23	data	data	NOUN
cana-953	248	24	streams	stream	NOUN
cana-953	248	25	could	could	AUX
cana-953	248	26	dynamically	dynamically	ADV
cana-953	248	27	influence	influence	VERB
cana-953	248	28	scheduling	scheduling	NOUN
cana-953	248	29	decisions	decision	NOUN
cana-953	248	30	,	,	PUNCT
cana-953	248	31	thereby	thereby	ADV
cana-953	248	32	adapting	adapt	VERB
cana-953	248	33	to	to	ADP
cana-953	248	34	changing	change	VERB
cana-953	248	35	data	data	NOUN
cana-953	248	36	patterns	pattern	NOUN
cana-953	248	37	and	and	CCONJ
cana-953	248	38	workload	workload	NOUN
cana-953	248	39	demands	demand	NOUN
cana-953	248	40	instantaneously	instantaneously	ADV
cana-953	248	41	.	.	PUNCT
cana-953	249	1	this	this	PRON
cana-953	249	2	would	would	AUX
cana-953	249	3	be	be	AUX
cana-953	249	4	particularly	particularly	ADV
cana-953	249	5	beneficial	beneficial	ADJ
cana-953	249	6	in	in	ADP
cana-953	249	7	environments	environment	NOUN
cana-953	249	8	that	that	PRON
cana-953	249	9	deal	deal	VERB
cana-953	249	10	with	with	ADP
cana-953	249	11	volatile	volatile	ADJ
cana-953	249	12	and	and	CCONJ
cana-953	249	13	time	time	NOUN
cana-953	249	14	-	-	PUNCT
cana-953	249	15	sensitive	sensitive	ADJ
cana-953	249	16	data	datum	NOUN
cana-953	249	17	samples	sample	NOUN
cana-953	249	18	.	.	PUNCT
cana-953	250	1	in	in	ADP
cana-953	250	2	conclusion	conclusion	NOUN
cana-953	250	3	,	,	PUNCT
cana-953	250	4	this	this	DET
cana-953	250	5	study	study	NOUN
cana-953	250	6	not	not	PART
cana-953	250	7	only	only	ADV
cana-953	250	8	proves	prove	VERB
cana-953	250	9	the	the	DET
cana-953	250	10	viability	viability	NOUN
cana-953	250	11	of	of	ADP
cana-953	250	12	the	the	DET
cana-953	250	13	proposed	propose	VERB
cana-953	250	14	intelligent	intelligent	ADJ
cana-953	250	15	scheduling	scheduling	NOUN
cana-953	250	16	framework	framework	NOUN
cana-953	250	17	in	in	ADP
cana-953	250	18	enhancing	enhance	VERB
cana-953	250	19	the	the	DET
cana-953	250	20	performance	performance	NOUN
cana-953	250	21	of	of	ADP
cana-953	250	22	distributed	distribute	VERB
cana-953	250	23	computing	computing	NOUN
cana-953	250	24	systems	system	NOUN
cana-953	250	25	but	but	CCONJ
cana-953	250	26	also	also	ADV
cana-953	250	27	sets	set	VERB
cana-953	250	28	a	a	DET
cana-953	250	29	foundation	foundation	NOUN
cana-953	250	30	for	for	ADP
cana-953	250	31	future	future	ADJ
cana-953	250	32	advancements	advancement	NOUN
cana-953	250	33	that	that	PRON
cana-953	250	34	could	could	AUX
cana-953	250	35	revolutionize	revolutionize	VERB
cana-953	250	36	the	the	DET
cana-953	250	37	efficiency	efficiency	NOUN
cana-953	250	38	and	and	CCONJ
cana-953	250	39	adaptability	adaptability	NOUN
cana-953	250	40	of	of	ADP
cana-953	250	41	large	large	ADJ
cana-953	250	42	-	-	PUNCT
cana-953	250	43	scale	scale	NOUN
cana-953	250	44	data	datum	NOUN
cana-953	250	45	processing	processing	NOUN
cana-953	250	46	environments	environment	NOUN
cana-953	250	47	.	.	PUNCT
cana-953	251	1	references	reference	NOUN
cana-953	251	2	[	[	X
cana-953	251	3	1	1	NUM
cana-953	251	4	]	]	PUNCT
cana-953	251	5	h.	h.	PROPN
cana-953	251	6	zheng	zheng	PROPN
cana-953	251	7	and	and	CCONJ
cana-953	251	8	j.	j.	PROPN
cana-953	251	9	wu	wu	PROPN
cana-953	251	10	,	,	PUNCT
cana-953	251	11	"	"	PUNCT
cana-953	251	12	joint	joint	ADJ
cana-953	251	13	scheduling	scheduling	NOUN
cana-953	251	14	of	of	ADP
cana-953	251	15	overlapping	overlap	VERB
cana-953	251	16	mapreduce	mapreduce	ADJ
cana-953	251	17	phases	phase	NOUN
cana-953	251	18	:	:	PUNCT
cana-953	251	19	pair	pair	NOUN
cana-953	251	20	jobs	job	NOUN
cana-953	251	21	for	for	ADP
cana-953	251	22	optimization	optimization	NOUN
cana-953	251	23	,	,	PUNCT
cana-953	251	24	"	"	PUNCT
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cana-953	255	19	3	3	NUM
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cana-953	310	21	b.	b.	PROPN
cana-953	310	22	m.	m.	PROPN
cana-953	310	23	a.	a.	PROPN
cana-953	310	24	al	al	PROPN
cana-953	310	25	islam	islam	PROPN
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cana-953	310	27	"	"	PUNCT
cana-953	310	28	towards	towards	ADP
cana-953	310	29	greening	green	VERB
cana-953	310	30	mapreduce	mapreduce	NOUN
cana-953	310	31	clusters	cluster	NOUN
cana-953	310	32	considering	consider	VERB
cana-953	310	33	both	both	CCONJ
cana-953	310	34	computation	computation	NOUN
cana-953	310	35	energy	energy	NOUN
cana-953	310	36	and	and	CCONJ
cana-953	310	37	cooling	cool	VERB
cana-953	310	38	energy	energy	NOUN
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cana-953	310	40	"	"	PUNCT
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cana-953	310	43	transactions	transaction	NOUN
cana-953	310	44	on	on	ADP
cana-953	310	45	parallel	parallel	ADJ
cana-953	310	46	and	and	CCONJ
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cana-953	310	48	systems	system	NOUN
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cana-953	312	4	,	,	PUNCT
cana-953	312	5	1	1	NUM
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cana-953	312	7	2021	2021	NUM
cana-953	312	8	,	,	PUNCT
cana-953	312	9	doi	doi	NOUN
cana-953	312	10	:	:	PUNCT
cana-953	312	11	10.1109	10.1109	NUM
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cana-953	313	2	:	:	PUNCT
cana-953	313	3	{	{	PUNCT
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cana-953	313	5	consumption;time	consumption;time	PROPN
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cana-953	313	9	algorithms;cloud	algorithms;cloud	PROPN
cana-953	313	10	computing;temperature	computing;temperature	PROPN
cana-953	313	11	distribution;green	distribution;green	PROPN
cana-953	313	12	parallel	parallel	NOUN
cana-953	313	13	computing;mapreduce;hadoop;machine	computing;mapreduce;hadoop;machine	NOUN
cana-953	313	14	learning	learn	VERB
cana-953	313	15	}	}	PUNCT
cana-953	313	16	,	,	PUNCT
cana-953	314	1	[	[	X
cana-953	314	2	24	24	NUM
cana-953	314	3	]	]	X
cana-953	314	4	j.	j.	PROPN
cana-953	314	5	-j	-j	PROPN
cana-953	314	6	.	.	PUNCT
cana-953	314	7	chen	chen	PROPN
cana-953	314	8	,	,	PUNCT
cana-953	314	9	h.	h.	PROPN
cana-953	314	10	-y	-y	PROPN
cana-953	314	11	.	.	PUNCT
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cana-953	314	13	,	,	PUNCT
cana-953	314	14	c.	c.	PROPN
cana-953	314	15	-c	-c	PROPN
cana-953	314	16	.	.	PROPN
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cana-953	314	18	,	,	PUNCT
cana-953	314	19	c.	c.	PROPN
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cana-953	314	21	.	.	PROPN
cana-953	314	22	sung	sung	PROPN
cana-953	314	23	and	and	CCONJ
cana-953	314	24	y.	y.	PROPN
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cana-953	315	1	wu	wu	PROPN
cana-953	315	2	,	,	PUNCT
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cana-953	315	11	allocation	allocation	NOUN
cana-953	315	12	for	for	ADP
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cana-953	315	17	"	"	PUNCT
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cana-953	318	2	:	:	PUNCT
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cana-953	318	10	algorithms;cloud	algorithms;cloud	PROPN
cana-953	318	11	video	video	NOUN
cana-953	318	12	transcoding;resource	transcoding;resource	PROPN
cana-953	318	13	management;complexityaware	management;complexityaware	NOUN
cana-953	318	14	scheduling;dynamic	scheduling;dynamic	ADJ
cana-953	318	15	slot	slot	NOUN
cana-953	318	16	allocation;load	allocation;load	NOUN
cana-953	318	17	balance	balance	NOUN
cana-953	318	18	operation;heterogeneous	operation;heterogeneous	ADJ
cana-953	318	19	parallel	parallel	ADJ
cana-953	318	20	system	system	NOUN
cana-953	318	21	}	}	PUNCT
cana-953	318	22	,	,	PUNCT
cana-953	318	23	[	[	X
cana-953	318	24	25	25	NUM
cana-953	318	25	]	]	X
cana-953	318	26	g.	g.	PROPN
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cana-953	318	29	a.	a.	PROPN
cana-953	318	30	sharma	sharma	PROPN
cana-953	318	31	,	,	PUNCT
cana-953	318	32	r.	r.	PROPN
cana-953	318	33	jeyaraj	jeyaraj	PROPN
cana-953	318	34	and	and	CCONJ
cana-953	318	35	a.	a.	NOUN
cana-953	318	36	paul	paul	PROPN
cana-953	318	37	,	,	PUNCT
cana-953	318	38	"	"	PUNCT
cana-953	318	39	handling	handle	VERB
cana-953	318	40	non	non	ADJ
cana-953	318	41	-	-	ADJ
cana-953	318	42	local	local	ADJ
cana-953	318	43	executions	execution	NOUN
cana-953	318	44	to	to	PART
cana-953	318	45	improve	improve	VERB
cana-953	318	46	mapreduce	mapreduce	NOUN
cana-953	318	47	performance	performance	NOUN
cana-953	318	48	using	use	VERB
cana-953	318	49	ant	ant	ADJ
cana-953	318	50	colony	colony	NOUN
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cana-953	318	52	,	,	PUNCT
cana-953	318	53	"	"	PUNCT
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cana-953	318	58	vol	vol	NOUN
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cana-953	318	61	,	,	PUNCT
cana-953	318	62	pp	pp	ADJ
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cana-953	319	2	-	-	SYM
cana-953	319	3	96188	96188	NUM
cana-953	319	4	,	,	PUNCT
cana-953	319	5	2021	2021	NUM
cana-953	319	6	,	,	PUNCT
cana-953	319	7	doi	doi	NOUN
cana-953	319	8	:	:	PUNCT
cana-953	319	9	10.1109	10.1109	NUM
cana-953	319	10	/	/	SYM
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cana-953	320	3	{	{	PUNCT
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cana-953	320	8	transfer;ant	transfer;ant	PROPN
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cana-953	320	11	computing;heterogeneous	computing;heterogeneous	ADJ
cana-953	320	12	performance;mapreduce	performance;mapreduce	NOUN
cana-953	320	13	scheduler;virtualized	scheduler;virtualize	VERB