2008 · 114 citations · 17 references
Cluster ComputingPower-aware ComputingEngineeringSmart GridEnergy EfficiencyEnergy ManagementEnergy OptimizationCloud ComputingComputer EngineeringSpare ServersSystems EngineeringMultiple Sleep StatesMulti-energy SystemEnergy Management PolicyPower-efficient ComputingPower-aware SoftwarePower ManagementMulti-mode Energy Management
This paper presents an energy management policy for reconfigurable clusters running a multi-tier application, exploiting DVS together with multiple sleep states. We develop a theoretical analysis of the corresponding power optimization problem and design an algorithm around the solution. Moreover, we rigorously investigate selection of the optimal number of spare servers for each power state, a problem that has only been approached in an ad-hoc manner in current policies.
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