Multi‐Objective Workflow Scheduling in Cloud Using Archimedes Optimization Algorithm

ABSTRACT Cloud computing has changed the technology landscape for over a decade and led to an astounding growth in the number of applications it may be used for. Consequently, there has been a significant spike in the demand for improved algorithms to schedule workflows efficiently. These were mostl...

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Veröffentlicht in:	Concurrency and computation Jg. 37; H. 4-5
Hauptverfasser:	Kushwaha, Shweta, Shankar Singh, Ravi, Prajapati, Kanika
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Wiley Subscription Services, Inc 28.02.2025
Schlagworte:	Algorithms Archimedes optimization algorithm Cloud computing cost‐efficiency Effectiveness Energy consumption Entrapment Heuristic methods local escaping operation metaheuristics Optimization Optimization algorithms optimization techniques pareto‐optimality Performance measurement Resource utilization Scheduling Workflow workflow scheduling
ISSN:	1532-0626, 1532-0634
Online-Zugang:	Volltext
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