Elite learning Harris hawks optimizer for multi-objective task scheduling in cloud computing

The widespread usage of cloud computing in different fields causes many challenges as resource scheduling, load balancing, power consumption, and security. To achieve a high performance for cloud resources, an effective scheduling algorithm is necessary to distribute jobs among available resources i...

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Vydané v:	The Journal of supercomputing Ročník 78; číslo 2; s. 2793 - 2818
Hlavní autori:	Amer, Dina A., Attiya, Gamal, Zeidan, Ibrahim, Nasr, Aida A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.02.2022 Springer Nature B.V
Predmet:	Algorithms Cloud computing Compilers Completion time Computer Science Interpreters Learning Multiple objective analysis Optimization Power consumption Processor Architectures Programming Languages Resource scheduling Resource utilization Run time (computers) Scheduling Task scheduling Cloud computing Scheduling Elite opposition-based learning And Harris hawks optimizer Optimization
ISSN:	0920-8542, 1573-0484
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