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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	The Journal of supercomputing Jg. 78; H. 2; S. 2793 - 2818
Hauptverfasser:	Amer, Dina A., Attiya, Gamal, Zeidan, Ibrahim, Nasr, Aida A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.02.2022 Springer Nature B.V
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!