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...

Celý popis

Podrobná bibliografie

Vydáno v:	IEEE transactions on emerging topics in computational intelligence s. 1 - 12
Hlavní autoři:	Yao, Feng, Chen, Huangke, Liu, Xiaolu, Gong, Maoguo, Xing, Lining, Zhao, Wei, Zheng, Long
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 2024
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!