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dc.contributor.authorTan, Alan Y.S.
dc.contributor.authorKo, Ryan K.L.
dc.contributor.authorMendiratta, Veena
dc.coverage.spatialAlaska, USA
dc.date.accessioned2014-12-16T22:49:58Z
dc.date.available2014
dc.date.available2014-12-16T22:49:58Z
dc.date.issued2014
dc.identifier.citationTan, A. Y. S., Ko, R. K. L., & Mendiratta, V. (2014). Virtual numbers for virtual machines? In Proceedings of IEEE Seventh International Conference on Cloud Computing, Alaska, USA, June 27-July 2, 2014 (pp. 972–974). Washington, DC, USA: IEEE. http://doi.org/10.1109/CLOUD.2014.147en
dc.identifier.urihttps://hdl.handle.net/10289/9014
dc.description.abstractKnowing the number of virtual machines (VMs) that a cloud physical hardware can (further) support is critical as it has implications on provisioning and hardware procurement. However, current methods for estimating the maximum number of VMs possible on a given hardware is usually the ratio of the specifications of a VM to the underlying cloud hardware’s specifications. Such naive and linear estimation methods mostly yield impractical limits as to how many VMs the hardware can actually support. It was found that if we base on the naive division method, user experience on VMs at those limits would be severely degraded. In this paper, we demonstrate through experimental results, the significant gap between the limits derived using the estimation method mentioned above and the actual situation. We believe for a more practicable estimation of the limits of the underlying infrastructure,
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherIEEE
dc.rightsThis is an author’s accepted version of an article published in the Proceedings of 2014 IEEE Seventh International Conference on Cloud Computing. © 2014 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
dc.sourceCLOUD 2014
dc.subjectcloud computing
dc.subjectvirtualization
dc.subjectcloud resource provisioning
dc.subjectload limit prediction
dc.titleVirtual numbers for virtual machines?
dc.typeConference Contribution
dc.identifier.doi10.1109/CLOUD.2014.147
dc.relation.isPartOfProceedings of IEEE Seventh International Conference on Cloud Computing
pubs.begin-page972
pubs.elements-id85069
pubs.end-page974
pubs.finish-date2014-07-02
pubs.place-of-publicationWashington, DC, USA
pubs.start-date2014-06-27


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