Performance analysis based resource allocation for green cloud computing
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Hwa Min | - |
dc.contributor.author | Jeong, Young-Sik | - |
dc.contributor.author | Jang, Haeng Jin | - |
dc.date.accessioned | 2021-08-11T22:26:05Z | - |
dc.date.available | 2021-08-11T22:26:05Z | - |
dc.date.issued | 2014-09 | - |
dc.identifier.issn | 0920-8542 | - |
dc.identifier.issn | 1573-0484 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/11894 | - |
dc.description.abstract | Cloud computing has become a new computing paradigm that has huge potentials in enterprise and business. Green cloud computing is also becoming increasingly important in a world with limited energy resources and an ever-rising demand for more computational power. To maximize utilization and minimize total cost of the cloud computing infrastructure and running applications, resources need to be managed properly and virtual machines shall allocate proper host nodes to perform the computation. In this paper, we propose performance analysis based resource allocation scheme for the efficient allocation of virtual machines on the cloud infrastructure. We experimented the proposed resource allocation algorithm using CloudSim and its performance is compared with two other existing models. | - |
dc.format.extent | 14 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Kluwer Academic Publishers | - |
dc.title | Performance analysis based resource allocation for green cloud computing | - |
dc.type | Article | - |
dc.publisher.location | 네델란드 | - |
dc.identifier.doi | 10.1007/s11227-013-1020-x | - |
dc.identifier.scopusid | 2-s2.0-84889991379 | - |
dc.identifier.wosid | 000342454300002 | - |
dc.identifier.bibliographicCitation | Journal of Supercomputing, v.69, no.3, pp 1013 - 1026 | - |
dc.citation.title | Journal of Supercomputing | - |
dc.citation.volume | 69 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 1013 | - |
dc.citation.endPage | 1026 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | sci | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Hardware & Architecture | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordAuthor | Resource allocation | - |
dc.subject.keywordAuthor | Virtualization | - |
dc.subject.keywordAuthor | Performance analysis | - |
dc.subject.keywordAuthor | Virtual machine | - |
dc.subject.keywordAuthor | Cloud computing | - |
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