Abstract:Power optimization and power control are challenging issues for server computer systems. To obtain power optimization in an enterprise server, one needs to observe temporal behavior of workloads, and how they contribute to relative variations in power drawn by different server components. This depth of analysis helps to validate and quantify various energy/performance trends important for power modeling. In this paper we discuss an adaptive infrastructure to synthesize models that dynamically estimate the thro… Show more
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