DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ko, YM | - |
dc.contributor.author | Yongkyu Cho | - |
dc.date.accessioned | 2016-03-31T08:02:38Z | - |
dc.date.available | 2016-03-31T08:02:38Z | - |
dc.date.created | 2014-08-21 | - |
dc.date.issued | 2014-09 | - |
dc.identifier.issn | 0166-5316 | - |
dc.identifier.other | 2014-OAK-0000030168 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/14431 | - |
dc.description.abstract | Modern electronic communications rely on large-scale data centers to process and store the vast amounts of data produced by smart phones, tablets, and other mobile devices. Remarkably, most data centers are still not energy efficient, because they operate full speed around the clock regardless of demand. In this paper, we present a novel distributed algorithm that adjusts server speed and workload routing according to the demand of multiple (virtualized) applications. Unlike previous studies that use the mean response time of a simple M/M/1 queue, the proposed algorithm incorporates the response time distribution obtained from a G/G/1/PS queue. We explain the optimality of the proposed algorithm and discuss the impact of incorporating response time constraints. The numerical results show the effectiveness of the algorithm when implemented in a distributed manner. (C) 2014 Elsevier B.V. All rights reserved. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | Elsevier | - |
dc.relation.isPartOf | PERFORMANCE EVALUATION | - |
dc.title | A distributed speed scaling and load balancing algorithm for energy efficient data centers | - |
dc.type | Article | - |
dc.contributor.college | 산업경영공학과 | - |
dc.identifier.doi | 10.1016/J.PEVA.2014.07.008 | - |
dc.author.google | Young Myoung Ko | - |
dc.author.google | Yongkyu Cho | - |
dc.relation.volume | 79 | - |
dc.relation.startpage | 120 | - |
dc.relation.lastpage | 133 | - |
dc.contributor.id | 11159676 | - |
dc.relation.journal | PERFORMANCE EVALUATION | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | PERFORMANCE EVALUATION, v.79, pp.120 - 133 | - |
dc.identifier.wosid | 000342266200009 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 133 | - |
dc.citation.startPage | 120 | - |
dc.citation.title | PERFORMANCE EVALUATION | - |
dc.citation.volume | 79 | - |
dc.contributor.affiliatedAuthor | Ko, YM | - |
dc.contributor.affiliatedAuthor | Yongkyu Cho | - |
dc.identifier.scopusid | 2-s2.0-84906784195 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 2 | - |
dc.description.scptc | 4 | * |
dc.date.scptcdate | 2018-05-121 | * |
dc.type.docType | Article; Proceedings Paper | - |
dc.subject.keywordPlus | PROCESSOR SHARING QUEUE | - |
dc.subject.keywordPlus | DYNAMIC CONTROL | - |
dc.subject.keywordPlus | ALLOCATION | - |
dc.subject.keywordPlus | OPTIMALITY | - |
dc.subject.keywordPlus | FAIRNESS | - |
dc.subject.keywordAuthor | Data centers | - |
dc.subject.keywordAuthor | Energy efficiency | - |
dc.subject.keywordAuthor | Distributed algorithm | - |
dc.subject.keywordAuthor | Speed scaling and load balancing | - |
dc.subject.keywordAuthor | G/G/1/PS queues | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Hardware & Architecture | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
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