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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Knowledge and information systems Ročník 66; číslo 5; s. 2859 - 2884
Hlavní autoři:	Girgis, Moheb R., Mahmoud, Tarek M., Azzam, Hagar M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.05.2024 Springer Nature B.V
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!