Semi-Markov availability model for infrastructure as a service cloud considering hidden failures of physical machines

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dc.contributor.authorIvanchenko, O.
dc.contributor.authorKharchenko, V.
dc.contributor.authorPonochovnyi, Y. L.
dc.contributor.authorBlindyuk, I.
dc.contributor.authorSmoktii, O.
dc.date.accessioned2019-02-13T08:47:33Z
dc.date.available2019-02-13T08:47:33Z
dc.date.issued2017
dc.description.abstractResults of researches in different areas of science and technique confirm that an effective route in order to solve important tasks is the possibility of migrating data resource within the cloud. Therefore Cloud Computing services including Infrastructure as a Service Cloud (IaaS Cloud) should have high availability level. It is serious problem, because even large cloud providers face with sudden failures of IaaS Cloud. It comes no surprise, that scientists consider taxonomy of this system on base of using overall underlying components, such as physical machines (PMs) and virtual machines (VMs). However cloud providers should always remember that hidden failures of PMs are one of the main causes of damage for their cloud assets. In this paper we propose approach on base of using Semi-Markov model in order to determine availability level for the IaaS Cloud with Technical State Control System.uk_UA
dc.identifier.citationIvanchenko, O., Kharchenko, V., Ponochovny, Y., Blindyuk, I., Smoktii, O. Semi-Markov availability model for infrastructure as a service cloud considering hidden failures of physical machines (2017) CEUR Workshop Proceedings, 1844, pp. 634-644.uk_UA
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85020521567&partnerID=40&md5=2f061c0594ea2f3223eba4a9dc1914bc
dc.identifier.urihttps://dspace.pdau.edu.ua/handle/123456789/2172
dc.language.isoenuk_UA
dc.publisherCEUR-WSuk_UA
dc.relation.ispartofseriesCEUR Workshop Proceedings;1844
dc.subjectInfrastructure as a service clouduk_UA
dc.subjectSemi-Markov availability modeluk_UA
dc.titleSemi-Markov availability model for infrastructure as a service cloud considering hidden failures of physical machinesuk_UA
dc.typeArticleuk_UA
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