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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on emerging topics in computational intelligence S. 1 - 12
Hauptverfasser:	Yao, Feng, Chen, Huangke, Liu, Xiaolu, Gong, Maoguo, Xing, Lining, Zhao, Wei, Zheng, Long
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2024
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!