A Multi-Objective Memetic Algorithm for Workflow Scheduling in Clouds

Simultaneously optimizing monetary cost and makespan of workflow execution is substantial to enhance the competitiveness of cloud services, but it still imposes challenges. Heuristics-based algorithms are often problem-dependent and well-suitable for special cases, but the complexity of workflow str...

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Vydané v:	IEEE transactions on emerging topics in computational intelligence s. 1 - 12
Hlavní autori:	Yao, Feng, Chen, Huangke, Liu, Xiaolu, Gong, Maoguo, Xing, Lining, Zhao, Wei, Zheng, Long
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 2024
Predmet:	Cloud computing Computational modeling Costs Heuristic algorithms Indexes local search Memetic computation Memetics Metaheuristics multi-objective Processor scheduling Scheduling Search problems workflow scheduling
ISSN:	2471-285X, 2471-285X
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