Deadline‐constrained cost‐energy aware workflow scheduling in cloud

Nowadays, scientists are dealing with large‐scale scientific workflows that need a high processing capacity platform to facilitate on‐time completion. Cloud computing is the ideal platform to overcome this problem as it has several resources that scientists may choose from depending on the size of t...

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Veröffentlicht in:	Concurrency and computation Jg. 34; H. 6
Hauptverfasser:	Bugingo, Emmanuel, Zheng, Wei, Lei, Zhenfeng, Zhang, Defu, Sebakara, Samuel Rene Adolphe, Zhang, Dongzhan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Wiley Subscription Services, Inc 10.03.2022
Schlagworte:	Algorithms Cloud computing Configurations cost‐efficient workflow scheduling deadline constrained workflow scheduling Energy consumption energy efficient workflow scheduling Heuristic Minimum cost multicriteria workflow scheduling multiobjective workflow scheduling Optimization Scheduling Scientists User satisfaction weighted sum for workflow scheduling Workflow
ISSN:	1532-0626, 1532-0634
Online-Zugang:	Volltext
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