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dc.contributor.authorLehrig, Sebastian
dc.contributor.authorSanders, Richard Torbjørn
dc.contributor.authorBrataas, Gunnar
dc.contributor.authorCecowski, Mariano
dc.contributor.authorIvansek, Simon
dc.contributor.authorPolutnik, Jure
dc.date.accessioned2017-11-01T08:32:25Z
dc.date.available2017-11-01T08:32:25Z
dc.date.created2017-06-28T13:49:32Z
dc.date.issued2017
dc.identifier.citationFuture generations computer systems. 2017, pp 12nb_NO
dc.identifier.issn0167-739X
dc.identifier.urihttp://hdl.handle.net/11250/2463337
dc.description.abstractThis paper describes CloudStore, an open source application that lends itself to analyzing key characteristics of Cloud computing platforms. Based on an earlier standard from transaction processing, it represents a simplified version of a typical e-commerce application – an electronic book store. We detail how a deployment on a popular public cloud offering can be instrumented to gain insight into system characteristics such as capacity, scalability, elasticity and efficiency. Based on our insights, we create a CloudStore performance model, allowing to accurately predict such properties already at design time.nb_NO
dc.language.isoengnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleCloudStore — towards scalability, elasticity, and efficiency benchmarking and analysis in Cloud computingnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber12nb_NO
dc.source.journalFuture generations computer systemsnb_NO
dc.identifier.doi10.1016/j.future.2017.04.018
dc.identifier.cristin1479572
dc.relation.projectEC/FP7/317704nb_NO
cristin.unitcode7401,90,13,0
cristin.unitnameSystemutvikling og sikkerhet
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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