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Advances in server, network, and storage virtualization are enabling the creation of resource pools of servers that permit multiple application workloads to share each server in the pool. This paper proposes and evaluates aspects of a capacity management process for automating the efficient use of such pools when hosting large numbers of services. The paper uses a trace based approach to capacity management that relies on a definition for required capacity, the characterization of workload demand patterns, the generation of synthetic workloads that predict future demands based on the patterns, and a workload placement recommendation service.

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Format:PDFSize:231 KB
Date:Jul 2007
Pages:9

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