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dc.contributor.authorSharifi, Leila
dc.contributor.authorCerdà Alabern, Llorenç
dc.contributor.authorFreitag, Fèlix
dc.contributor.authorVeiga, Luis
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.identifier.citationSharifi, L., Cerdà, L., Freitag, F., Veiga, L. Energy efficient cloud service provisioning: Keeping data center granularity in perspective. "Journal of grid computing", Juny 2016, vol. 14, núm. 2, p. 299-325.
dc.description.abstractThe cost of power and its associated delivery are becoming significant factors in the total expenditure of large-scale data centers. Numerous techniques have been proposed to address the energy efficiency issue in cloud systems. Recently, some efforts have been made to decentralize the cloud via distributing data centers in diverse geographical positions, at different scales. In this paper, we elaborate on the energy effectiveness of service provisioning on different cloud architectures, from a mega-data center to a nano data center, which provides the extreme decentralization in terms of cloud architecture, as well as P2P-clouds or community network clouds. We study the energy consumption through an analytical and simulation framework for video streaming and MapReduce applications.
dc.format.extent27 p.
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshData processing service centers
dc.subject.lcshCloud computing
dc.subject.otherCloud architecture
dc.subject.otherData center granularity
dc.subject.otherEnergy effectiveness
dc.subject.otherVirtual data center
dc.titleEnergy efficient cloud service provisioning: Keeping data center granularity in perspective
dc.subject.lemacCentres informàtics
dc.subject.lemacComputació en núvol
dc.contributor.groupUniversitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
local.citation.authorSharifi, L.; Cerdà, L.; Freitag, F.; Veiga, L.
local.citation.publicationNameJournal of grid computing

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