A hybrid bi-objective scheduling algorithm for execution of scientific workflows on cloud platforms with execution time and reliability approach

Heterogeneous cloud datacenters are well-suited and cost-efficient platforms for execution of scientific workflows requested from academics. Workflow scheduling algorithms have drastic impacts on the objectives that stakeholders in the system expect. This paper models the scientific workflow schedul...

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Vydáno v:	The Journal of supercomputing Ročník 79; číslo 2; s. 1451 - 1503
Hlavní autoři:	Asghari Alaie, Yeganeh, Hosseini Shirvani, Mirsaeid, Rahmani, Amir Masoud
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.02.2023 Springer Nature B.V
Témata:	Cloud computing Combinatorial analysis Compilers Computer Science Costs Critical path Failure Genetic algorithms Heuristic Interpreters Linear programming Modules Optimization Optimization algorithms Performance evaluation Processor Architectures Programming Languages Quality of service Scheduling Search algorithms System failures System reliability Workflow Scheduling failure factor Workflow scheduling Cloud multi-datacenter Hybrid discrete cuckoo search algorithm
ISSN:	0920-8542, 1573-0484
On-line přístup:	Získat plný text
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