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Resource virtualization technologies have recently increased in popularity. The emergence of cloud computing, which requires provisioning isolated environments on shared resources, is one reason for this. Virtualization adds flexibility in terms of resource provisioning, but it can impact application performance. In this paper, the authors analyze the performance of medical image processing and computational fluid dynamics applications when run on virtualized resources. They then apply the observed performance characteristics to a performance prediction model.
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