Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/98357
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dc.creatorJorge G. Barbosa
dc.creatorAltino M. Sampaio
dc.date.accessioned2019-07-16T23:07:24Z-
dc.date.available2019-07-16T23:07:24Z-
dc.date.issued2016-04-08
dc.identifier.othersigarra:150153
dc.identifier.urihttps://hdl.handle.net/10216/98357-
dc.description.abstract-In most of the current commercial Clouds, resources are billed based on a time interval equal to one hour,as is the case of virtual machine (VM) instances on AmazonEC2. Such time interval is usually long, and yet the user hasto pay for the whole last hour, even if he/she has only used afraction of it, contradicting the pay-as-you-go model of Clouds.In this paper, we analyse the advantages of adopting alternative scheduling policies that exploit idle last time intervals,in terms of service cost to Cloud users and operating coststo Cloud providers. Using a real-life astronomy workflowapplication, constrained by user-defined Deadline and Budgetquality of service (QoS) parameters, a set of online state-ofthe-art-based scheduling algorithms try different execution andresource provisioning plans. Our results show that exploitationof partially idle last time intervals can reduce the cost of serviceto the end user, and augments providers competitiveness up to21.6% through energy efficiency improvement and consequentlowering of operational costs.
dc.language.isoeng
dc.relation.ispartofIEEE International Conference on Cloud Engineering: Workshop (IC2EW)
dc.rightsrestrictedAccess
dc.titleA study on cloud cost efficiency by exploiting idle billing period fractions
dc.typeArtigo em Livro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.1109/IC2EW.2016.41
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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