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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Vydané v:	Concurrency and computation Ročník 37; číslo 4-5
Hlavní autori:	Kushwaha, Shweta, Shankar Singh, Ravi, Prajapati, Kanika
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken Wiley Subscription Services, Inc 28.02.2025
Predmet:	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
On-line prístup:	Získať plný text
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