Fine Tuning Performance and Efficiency of Virtual Infrastructure

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dc.contributor.authorPerry, Ethan
dc.contributor.authorColeman, Tanner
dc.contributor.authorHooks, Quinton
dc.contributor.authorTiemon, Liam
dc.date.accessioned2021-08-13T14:32:29Z
dc.date.available2021-08-13T14:32:29Z
dc.date.created2020
dc.description2020 Celebration of Student Research and Creativity presentationen_US
dc.description.abstractThis is a study of virtual infrastructure performance. We intend to develop methods to correctly size virtual machine resources according to its workload. We will attempt to optimize virtual machines over four different resource categories: CPU, storage, memory, and network. We will host virtual machines and modify parameters per machine while monitoring its workloads. The results will show performance differences between optimized and default resource allocations. The implications of these results can result in increased cost and energy savings for infrastructure providers.en_US
dc.description.urihttps://youtu.be/eFoI-SMbDLUen_US
dc.identifier.urihttp://hdl.handle.net/11216/3904
dc.language.isoen_USen_US
dc.publisherNorthern Kentucky Universityen_US
dc.relation.ispartofseriesCelebration of Student Research and Creativity;2020
dc.subjectVirtual computer systemsen_US
dc.subjectInformation storage and retrieval systems Performanceen_US
dc.titleFine Tuning Performance and Efficiency of Virtual Infrastructureen_US
dc.typePresentationen_US

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Student Research and Creativity