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Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications' QoS

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dc.contributor.authorCalheiros, Rodrigo N.
dc.contributor.authorMasoumi, Enayat
dc.contributor.authorRanjan, Rajiv
dc.contributor.authorBuyya, Rajkumar
dc.date.accessioned2015-12-10T22:53:57Z
dc.date.issued2014
dc.date.updated2016-06-14T08:58:18Z
dc.identifier.issn2168-7161
dc.identifier.urihttp://hdl.handle.net/1885/59578
dc.publisherIEEE
dc.sourceIEEE Transactions on Cloud Computing
dc.titleWorkload Prediction Using ARIMA Model and Its Impact on Cloud Applications' QoS
dc.typeJournal article
local.bibliographicCitation.issue2014
local.bibliographicCitation.lastpage11
local.bibliographicCitation.startpage1
local.contributor.affiliationCalheiros, Rodrigo N., The University of Melbourne
local.contributor.affiliationMasoumi, Enayat, The University of Melbourne
local.contributor.affiliationRanjan, Rajiv, College of Engineering and Computer Science, ANU
local.contributor.affiliationBuyya, Rajkumar, University of Melbourne
local.contributor.authoruidRanjan, Rajiv, u2507046
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor080500 - DISTRIBUTED COMPUTING
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4056230xPUB498
local.identifier.citationvolumeOnline Early Version
local.identifier.doi10.1109/TCC.2014.2350475
local.identifier.scopusID2-s2.0-84951964638
local.type.statusPublished Version

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