MOTORS: multi-objective task offloading and resource scheduling algorithm for heterogeneous fog-cloud computing scenario

Along with the rising popularity of pay-as-you-go cloud services, many businesses and communities are deploying their business or scientific workflow applications on cloud-based computing platforms. The primary responsibility of cloud service providers is to reduce the monetary cost and execution ti...

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Vydané v:	The Journal of supercomputing Ročník 80; číslo 15; s. 22315 - 22361
Hlavní autori:	Shukla, Prashant, Pandey, Sudhakar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.10.2024 Springer Nature B.V
Predmet:	Automation Cloud computing Clustering Compilers Computation offloading Computer Science Cooperation Effectiveness Energy consumption Genetic algorithms Internet of Things Interpreters Multiple objective analysis Optimization Processor Architectures Programming Languages Real time Resource management Resource scheduling Resource utilization Scheduling Search algorithms Task complexity Workflow software Fog-cloud computing FDTCO Resource scheduling HORSA MOTORS Task offloading
ISSN:	0920-8542, 1573-0484
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