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dc.contributor.advisorBrataas, Gunnarnb_NO
dc.contributor.advisorMillstein, Geirnb_NO
dc.contributor.advisorMolle, Terjenb_NO
dc.contributor.authorRygg, Knut Helgenb_NO
dc.date.accessioned2014-12-19T13:39:18Z
dc.date.available2014-12-19T13:39:18Z
dc.date.created2012-11-08nb_NO
dc.date.issued2012nb_NO
dc.identifier566541nb_NO
dc.identifierntnudaim:6400nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/253054
dc.description.abstractThe scalability of an information system describes the relationship between system ca-pacity and system size. This report studies the scalability of Microsoft Lync Server 2010 in order to provide guidelines for provisioning hardware resources. Optimal pro-visioning is required to reduce both deployment and operational costs, while keeping an acceptable service quality.All Lync servers in the test setup are virtualizedusingVMware ESXi 5.0 and the system runs on a Cisco Unified Computing System (UCS) platform. The scenario is a typical hosted Lync deployment with external users only and telephone integration. While several companies offer hosted virtual Lync deployments and the Cisco UCS platform has a rich market share, Microsoft s capacity planning guides don t provide help for such a deployment scenario or hardware platform. This report consequently fill an information gap.The scalability is determined by using empirical measurements with different work-loads and system sizes. The workload is determined by the number of Lync end-users and the system size varies from 1/4 to 4/4 Cisco UCS blade server. The results show a linear scaling in the range of 1/4 to 4/4 blade servers. The processor is found to be the main bottleneck resource in this deployment. Themean opinion score (MOS) aswell as the front end server utilization are the best metrics formonitoring service quality.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaim:6400no_NO
dc.subjectMTDT datateknikkno_NO
dc.subjectKomplekse datasystemerno_NO
dc.titleScalability Modeling for Optimal Provisioning of Data Centers in Telenor: A better balance between under- and over-provisioningnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber80nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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