GA-based QOS-aware workflow scheduling of deadline tasks in grid computing

Grid computing is the aggregation of the power of heterogeneous, geographically distributed computing resources to provide high-performance computing. To benefit from the grid computing capabilities, effectual scheduling algorithms are primarily essential. This paper presents a GA-based approach, ca...

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Veröffentlicht in:	Knowledge and information systems Jg. 66; H. 5; S. 2859 - 2884
Hauptverfasser:	Girgis, Moheb R., Mahmoud, Tarek M., Azzam, Hagar M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.05.2024 Springer Nature B.V
Schlagworte:	Computer networks Computer Science Data Mining and Knowledge Discovery Database Management Distributed processing Genetic algorithms Geographical distribution Information Storage and Retrieval Information Systems and Communication Service Information Systems Applications (incl.Internet) IT in Business Quality of service Regular Paper Scheduling Task scheduling Workflow Workflow tasks scheduling Grid computing Quality of service constraints Genetic algorithms
ISSN:	0219-1377, 0219-3116
Online-Zugang:	Volltext
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