An energy-aware virtual machine migration strategy based on three-way decisions

Virtual machine migration (VMM) is a crucial way to ensure load balancing and save energy consumption of cloud hosts. In most previous studies, they apply the same virtual machine migration strategy for overloaded hosts, which ignore the possible communication between the migrated VM, and other fact...

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Autores principales:	Chunmao Jiang, Ling Yang, Rui Shi
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Three-way decision Virtual machine migration Network energy consumption DC energy consumption Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/4a7e7a7eaae84c7199294a20d48f5b92
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id	oai:doaj.org-article:4a7e7a7eaae84c7199294a20d48f5b92
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spelling	oai:doaj.org-article:4a7e7a7eaae84c7199294a20d48f5b922021-11-28T04:33:33ZAn energy-aware virtual machine migration strategy based on three-way decisions2352-484710.1016/j.egyr.2021.02.029https://doaj.org/article/4a7e7a7eaae84c7199294a20d48f5b922021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S235248472100127Xhttps://doaj.org/toc/2352-4847Virtual machine migration (VMM) is a crucial way to ensure load balancing and save energy consumption of cloud hosts. In most previous studies, they apply the same virtual machine migration strategy for overloaded hosts, which ignore the possible communication between the migrated VM, and other factors. Thus, they are prone to incur excessive network overhead. This paper proposes a virtual machine migration strategy based on the three-way decision (VMM-3WD) to save cloud hosts’ energy consumption while considering the network correlation between virtual machines. The strategy first is to classify hosts into overloaded hosts, regular load hosts, and under-loaded hosts based on their load situation. Then, different migration strategies are targeted developed for these three types of cloud hosts. Specifically, the approach migrates the VMs in under-loaded hosts to regular load hosts. And then, the approach further develops two thresholds to divides overloaded hosts into massively overloaded hosts, moderately overloaded, and lightly overloaded hosts. The migration decision of VMs in all stages pursuing the goal of reducing the energy consumption of the network during the migration process. The experimental results show that the proposed algorithm can reduce the energy consumption generated by virtual machine migration and data center (DC) energy consumption while meeting the SLA.Chunmao JiangLing YangRui ShiElsevierarticleThree-way decisionVirtual machine migrationNetwork energy consumptionDC energy consumptionElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 8597-8607 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Three-way decision Virtual machine migration Network energy consumption DC energy consumption Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Three-way decision Virtual machine migration Network energy consumption DC energy consumption Electrical engineering. Electronics. Nuclear engineering TK1-9971 Chunmao Jiang Ling Yang Rui Shi An energy-aware virtual machine migration strategy based on three-way decisions
description	Virtual machine migration (VMM) is a crucial way to ensure load balancing and save energy consumption of cloud hosts. In most previous studies, they apply the same virtual machine migration strategy for overloaded hosts, which ignore the possible communication between the migrated VM, and other factors. Thus, they are prone to incur excessive network overhead. This paper proposes a virtual machine migration strategy based on the three-way decision (VMM-3WD) to save cloud hosts’ energy consumption while considering the network correlation between virtual machines. The strategy first is to classify hosts into overloaded hosts, regular load hosts, and under-loaded hosts based on their load situation. Then, different migration strategies are targeted developed for these three types of cloud hosts. Specifically, the approach migrates the VMs in under-loaded hosts to regular load hosts. And then, the approach further develops two thresholds to divides overloaded hosts into massively overloaded hosts, moderately overloaded, and lightly overloaded hosts. The migration decision of VMs in all stages pursuing the goal of reducing the energy consumption of the network during the migration process. The experimental results show that the proposed algorithm can reduce the energy consumption generated by virtual machine migration and data center (DC) energy consumption while meeting the SLA.
format	article
author	Chunmao Jiang Ling Yang Rui Shi
author_facet	Chunmao Jiang Ling Yang Rui Shi
author_sort	Chunmao Jiang
title	An energy-aware virtual machine migration strategy based on three-way decisions
title_short	An energy-aware virtual machine migration strategy based on three-way decisions
title_full	An energy-aware virtual machine migration strategy based on three-way decisions
title_fullStr	An energy-aware virtual machine migration strategy based on three-way decisions
title_full_unstemmed	An energy-aware virtual machine migration strategy based on three-way decisions
title_sort	energy-aware virtual machine migration strategy based on three-way decisions
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/4a7e7a7eaae84c7199294a20d48f5b92
work_keys_str_mv	AT chunmaojiang anenergyawarevirtualmachinemigrationstrategybasedonthreewaydecisions AT lingyang anenergyawarevirtualmachinemigrationstrategybasedonthreewaydecisions AT ruishi anenergyawarevirtualmachinemigrationstrategybasedonthreewaydecisions AT chunmaojiang energyawarevirtualmachinemigrationstrategybasedonthreewaydecisions AT lingyang energyawarevirtualmachinemigrationstrategybasedonthreewaydecisions AT ruishi energyawarevirtualmachinemigrationstrategybasedonthreewaydecisions
_version_	1718408313619611648

An energy-aware virtual machine migration strategy based on three-way decisions

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