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Minimizing the operational cost of data centers via geographical electricity price diversity

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dc.contributor.authorXu, Zichuan (Edward)
dc.contributor.authorLiang, Weifa
dc.coverage.spatialSanta Clara United States of America
dc.date.accessioned2015-12-08T22:09:36Z
dc.date.createdJune 27-July 2 2013
dc.date.issued2013
dc.date.updated2015-12-08T07:26:20Z
dc.description.abstractData centers, serving as infrastructures for cloud services, are growing in both number and scale. However, they usually consume enormous amounts of electric power, which lead to high operational costs of cloud service providers. Reducing the operational
dc.identifier.isbn9781479904907
dc.identifier.urihttp://hdl.handle.net/1885/29108
dc.publisherIEEE
dc.relation.ispartofseries2013 IEEE 6th International Conference on Cloud Computing (CLOUD)
dc.sourceIEEE International Conference on Cloud Computing 2013
dc.source.urihttp://www.proceedings.com/19527.html
dc.titleMinimizing the operational cost of data centers via geographical electricity price diversity
dc.typeConference paper
local.bibliographicCitation.lastpage106
local.bibliographicCitation.startpage99
local.contributor.affiliationXu, Zichuan (Edward), College of Engineering and Computer Science, ANU
local.contributor.affiliationLiang, Weifa, College of Engineering and Computer Science, ANU
local.contributor.authoruidXu, Zichuan (Edward), u4990040
local.contributor.authoruidLiang, Weifa, u9404892
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080201 - Analysis of Algorithms and Complexity
local.identifier.absseo890103 - Mobile Data Networks and Services
local.identifier.absseo899899 - Environmentally Sustainable Information and Communication Services not elsewhere classified
local.identifier.ariespublicationu9609633xPUB62
local.identifier.doi10.1109/CLOUD.2013.94
local.identifier.scopusID2-s2.0-84897707284
local.identifier.thomsonID000332488800013
local.type.statusPublished Version

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