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Energy-credit scheduler: An energy-aware virtual machine scheduler for cloud systems

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dc.contributor.author Kim, Nakku ko
dc.contributor.author Cho, Jungwook ko
dc.contributor.author Seo, Euiseong ko
dc.date.available 2014-04-10T02:26:22Z -
dc.date.created 2014-01-20 ko
dc.date.issued 2014-03 ko
dc.identifier.citation FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING AND ESCIENCE, v.32, no.1, pp.128 - 137 ko
dc.identifier.issn 0167-739X ko
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/3857 -
dc.description.abstract Virtualization facilitates the provision of flexible resources and improves energy efficiency through the consolidation of virtualized servers into a smaller number of physical servers. As an increasingly essential component of the emerging cloud computing model, virtualized environments bill their users based on processor time or the number of virtual machine instances. However, accounting based only on the depreciation of server hardware is not sufficient because the cooling and energy costs for data centers will exceed the purchase costs for hardware. This paper suggests a model for estimating the energy consumption of each virtual machine without dedicated measurement hardware. Our model estimates the energy consumption of a virtual machine based on in-processor events generated by the virtual machine. Based on this estimation model, we also propose a virtual machine scheduling algorithm that can provide computing resources according to the energy budget of each virtual machine. The suggested schemes are implemented in the Xen virtualization system, and an evaluation shows that the suggested schemes estimate and provide energy consumption with errors of less than 5% of the total energy consumption. ko
dc.description.statementofresponsibility close -
dc.language 영어 ko
dc.publisher ELSEVIER SCIENCE BV ko
dc.title Energy-credit scheduler: An energy-aware virtual machine scheduler for cloud systems ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-84891598672 ko
dc.identifier.wosid 000331414700011 ko
dc.type.rims ART ko
dc.description.scopustc 2 *
dc.date.scptcdate 2014-07-12 *
dc.identifier.doi 10.1016/j.future.2012.05.019 ko
dc.identifier.url http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84891598672 ko
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