id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ijassa-761	Hamza, Ekhlas Kadhum	Enhancing Hadoop Performance in Homogenous and Heterogeneous Big Data Environments by Dynamic Slot Configuration	2020	14	.pdf	application/pdf	4660	268	52	5. CONCLUSION AND FUTURE WORKS The problem of high workload and therefore, increased computational resources in Hadoop MapReduce Platform for big data processing, is an attempt to mitigate the optimized Hadoop solution by allowing the slot configuration between maps and reduce the tunable according to certain job priority or homogeneity as well as the available resource spontaneously. Big data can be identified mainly in three parameters, which are complexity, volume and dynamicity.	cache/ijassa-761.pdf	txt/ijassa-761.txt