A survey on application of machine learning to manage the virtual machines in cloud computing

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dc.contributor.authorBarthwal, Varun
dc.contributor.authorRauthan, M.M.S.
dc.contributor.authorVarma, Rohan
dc.contributor.statusnemhu_HU
dc.date.accessioned2021-04-06T08:19:39Z
dc.date.available2021-04-06T08:19:39Z
dc.date.issued2020-11-12
dc.description.abstractVirtual machine (VM) management is a fundamental challenge in the cloud datacenter, as it requires not only scheduling and placement, but also optimization of the method to maintain the energy cost and service quality. This paper reviews the different areas of literature that deal with the resource utilization prediction, VM migration, VM placement and the selection of physical machines (PMs) for hosting the VMs. The main features of VM management policies were also examined using a comparative analysis of the current policies. Many research works include Machine Learning (ML) for detecting the PM overloading, the selection of VMs from over-utilized PM and VM placement as the main activities. This article aims to identify and classify research done in the area of scheduling and placement of VMs using the ML with resource utilization history. Energy efficiency, VM migration counts and Service quality were the key performance parameters that were used to assess the performance of the cloud datacenter.hu_HU
dc.identifier.doi10.1556/1848.2020.00065hu_HU
dc.identifier.issn2062-0810
dc.identifier.issue3hu_HU
dc.identifier.jtitleInternational Review of Applied Sciences and Engineering
dc.identifier.urihttp://hdl.handle.net/2437/305205
dc.identifier.urlhttps://akjournals.com/view/journals/1848/11/3/article-p197.xmlhu_HU
dc.identifier.volume11hu_HU
dc.language.isoenhu_HU
dc.publisherAkadémiai Kiadóhu_HU
dc.subjectcloud computinghu_HU
dc.subjectdatacenterhu_HU
dc.subjectdynamic consolidationhu_HU
dc.subjectmachine learninghu_HU
dc.subjectpredictionhu_HU
dc.subjectvirtualizationhu_HU
dc.subjectworkload datahu_HU
dc.titleA survey on application of machine learning to manage the virtual machines in cloud computinghu_HU
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International Review of Applied Sciences and Engineering