The Performance Cost of Virtual Machines on Big Data Problems in Compute Clusters

Neal Barcelo, Nick Legg

msra

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摘要
To facilitate better management of large data-in- tensive compute clusters, many cluster owners and providers of cloud computing environments are lo- oking at virtualization technology as a potential solution. However, virtual machines exhibit per- formance degradation when compared with phys- ical machines since a virtual machine is unable to execute privileged instructions without first going through the virtualization software.
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and a real-world ground density modelling appli- cation that exhibits a hybrid of cpu and disk op- erations. these workloads were then evaluated,the purpose of our research is to construct a cloud computing environment and assess the perform- ance cost of large-scale cluster computing on large datasetsusingvirtualmachinesasopposedtophys- ical machines. wedevelopedandtestedthreedifferentworkloads: a synthetic disk-dominant application,a cpu-in- tensive real-world scientific modeling application
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