Multi-objective optimization-based workflow scheduling for applications with data locality and deadline constraints in geo-distributed clouds

Geo-distributed clouds have emerged as a new generation of cloud computing paradigm, in which each cloud is operated and managed by independent cloud service providers (CSPs). By enhancing cooperation among CSPs, it can offer efficient cross-cloud services. In geo-distributed clouds, the resources o...

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Veröffentlicht in:	Future generation computer systems Jg. 157; S. 485 - 498
Hauptverfasser:	Wu, Dongkuo, Wang, Xingwei, Wang, Xueyi, Huang, Min, Zeng, Rongfei, Yang, Kaiqi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2024
Schlagworte:	Evolutionary algorithm Geo-distributed clouds Multi-objective optimization Workflow scheduling Multi-objective optimization Geo-distributed clouds Workflow scheduling Evolutionary algorithm
ISSN:	0167-739X, 1872-7115
Online-Zugang:	Volltext
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