Hypervisor and Virtual Machine Memory Optimization Analysis

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dc.contributor.advisorRoos, Meelis, supervisor
dc.contributor.authorViitkar, Tambet
dc.contributor.otherTartu Ülikool. Loodus- ja täppisteaduste valdkondet
dc.contributor.otherTartu Ülikool. Tehnoloogiainstituutet
dc.date.accessioned2018-06-14T09:51:05Z
dc.date.available2018-06-14T09:51:05Z
dc.date.issued2018
dc.description.abstractThe goal of this thesis is to test memory optimization and reclamation tools in the most widely used hypervisors: VMware ESXi, Microsoft Hyper-V, KVM, and Xen. The aim is to measure how much memory could be reclaimed and optimized by different memory management algorithms across hypervisors mentioned above. Dedicated monitoring tools Zabbix and collectd are going to gather the data which will be analyzed. As a result, Hyper-V seems to be the most effective, with ESXi second and KVM falling somewhat behind in the third place. Xen failed to meet specifc criteria (automated memory optimization) which rendered it impractical to include in the testing process.en
dc.identifier.urihttp://hdl.handle.net/10062/60705
dc.language.isoenget
dc.publisherTartu Ülikoolet
dc.rightsopenAccesset
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Estonia*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/ee/*
dc.subjectvmwareen
dc.subjecthyperven
dc.subjectkvmen
dc.subjectxenen
dc.subject.otherbakalaureusetöödet
dc.subject.otherarvutidet
dc.subject.otherhüperviisoridet
dc.subject.othervirtuaalmasinadet
dc.subject.othermäluhalduset
dc.subject.othermälu optimiseerimineet
dc.subject.othervirtuaalmäluet
dc.subject.othersüsteemihalduset
dc.subject.othercomputersen
dc.subject.otherhypervisorsen
dc.subject.othervirtual machinesen
dc.subject.othermemory managementen
dc.subject.othermemory optimiztionen
dc.subject.othervirtual memoryen
dc.subject.othersystem engineeringen
dc.titleHypervisor and Virtual Machine Memory Optimization Analysisen
dc.title.alternativeHüperviisorite ja virtuaalmasinate mäluhalduse analüüsen
dc.typeThesisen

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