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Public vs private cloud usage costs: The StratusLab case

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dc.contributor.author Konstantinou, I en
dc.contributor.author Floros, E en
dc.contributor.author Koziris, N en
dc.date.accessioned 2014-03-01T02:54:00Z
dc.date.available 2014-03-01T02:54:00Z
dc.date.issued 2012 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/36527
dc.subject.other Administration costs en
dc.subject.other Cloud services en
dc.subject.other Computing infrastructures en
dc.subject.other Cost comparisons en
dc.subject.other Hardware resources en
dc.subject.other Multiple services en
dc.subject.other Operational costs en
dc.subject.other Private clouds en
dc.subject.other Small clusters en
dc.subject.other Total cost of ownership en
dc.subject.other Total costs en
dc.subject.other Cloud computing en
dc.subject.other Costs en
dc.subject.other Distributed database systems en
dc.subject.other Economic analysis en
dc.subject.other Energy efficiency en
dc.subject.other Cost benefit analysis en
dc.title Public vs private cloud usage costs: The StratusLab case en
heal.type conferenceItem en
heal.identifier.primary 10.1145/2168697.2168700 en
heal.identifier.secondary http://dx.doi.org/10.1145/2168697.2168700 en
heal.identifier.secondary 3 en
heal.publicationDate 2012 en
heal.abstract Cloud computing claims to offer multiple advantages comparing to ""traditional"" computing infrastructures. These include among others: energy efficiency, reduction of the overall administration costs, better utilization of hardware resources by co-hosting multiple services environments, etc. This paper reports on the experience gained during the provision of an IaaS cloud service in the context of the Stratus-Lab project and provides quantitative economic analysis of the total cost of ownership of such infrastructure by calculating the infrastructure, maintenance and operational cost. The analysis continues with the cost comparison of the private cloud against the popular Amazon's EC2 public cloud service by utilizing the collected StratusLab usage traces for a period of one year. It is shown that with an average utilization of 70%, a small cluster of 20 machines could amortize its total cost in a period of 2-3 years while offering the same rates compared to Amazon cloud if it were offered on a pay-as-you go basis. © 2012 ACM. en
heal.journalName Proceedings of the 2nd International Workshop on Cloud Computing Platforms, CloudCP 2012 - Co-located with EuroSys 2012 en
dc.identifier.doi 10.1145/2168697.2168700 en


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