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Sizing the Streaming Media Cluster Solution for a Given Workload

Cherkasova, Ludmila; Tang, Wenting


Keyword(s): Utility Data Centers; enterprise media servers; media system benchmarks; measurements; capacity metrics; media server capacity; performance models

Abstract: The goal of the proposed benchmarking and capacity planning framework is to evaluate the amount of resources needed for processing a given workload while meeting the specified performance requirements. There are two essential components in our capacity planning framework: i) the capacity measurements of different h/w and s/w solutions using a specially designed set of media benchmarks and ii) a media service workload profiler, called MediaProf, which extracts a set of quantitative and qualitative parameters characterizing the service demand. The capacity planning tool matches the requirements of the media service workload profile, SLAs and configuration constraints to produce the best available cost/performance solution. In case of a multi-node configuration, the Capacity Planner performs a cluster sizing evaluation by taking into account the choice of load balancing solution. Notes: Copyright IEEE To be published in IEEE/ACM International Symposium on Cluster Computing and the Grid, 19-22 April 2004, Chicago, IL, USA

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