id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajsts-1804	Fouakeu Tatieze, Stéphane; Kamgang, Jean Claude; Nkenlifack, Marcellin Julius	Genetic Algorithm of Independent Task Meta-Scheduling Centralized in the Cloud Computing	2023	12	.pdf	application/pdf	6679	410	57	Solutions 2(2) 10-20, 2023 length to as a high-priority load parameter, which reflects the average number of processes running in the queue within the specified time interval; Second, select the CPU utilization and memory utilization as a priority load parameters, which reflects the currently running task size of system resources; experimental results demonstrate that the pro- posed algorithm can effectively improve the throughput of cloud computing systems, and can significantly reduce the execution time of task scheduling. Task scheduling plays a key role to improve flexibility and reliability of systems in cloud.	cache/ajsts-1804.pdf	txt/ajsts-1804.txt