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We construct energy optimization policies for a server cluster, using statistical data analyses and demand prediction methodologies, with an aim to reduce the power consumption of the server cluster. In doing so, we monitor and analyze the historical time-series utilization data of a server cluster. Based on the analyses results, we develop predictions about utilization of servers for future time...
This paper proposes a new energy optimization methodology using the Potluck Problem concept for large and complex IT systems. The proposed methodology involves analyzing the historical time-series data about resource utilization in the IT system, and finding interesting temporal patterns therefrom. Based on the analysis, a system of predictors is constructed wherein each predictor provides an estimate...
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