2010 · 35 citations · 18 references
ManagementCloud ComputingCloud ArchitectureEnergy ManagementGrid ComputingEnergy ConservationEnergy EfficiencyEnergy Management SystemsEnergy MeteringEnergy UseResource SchedulingEnergy ConsumptionEnergy Savings MeasurementEnergy Use ReductionEnergy-aware ProvisioningEnergy-aware Resource SchedulingEnergy-aware SchedulingEnergy-efficient Resource ManagementPerformance Degradation
This paper presents an integrated framework for energy savings in large scale distributed systems such as grids and clouds. The framework comprises tools and mechanisms: to measure and log data about the energy consumed by resources; to present this information to users; to involve the users in decisions to reduce the energy consumed by their applications; and to enforce energy reduction decisions automatically while respecting the users' requirements and achieving the resource availability demanded by current services. Experiments demonstrate the energy savings achieved by the proposed mechanisms and explore trade-offs between energy efficiency and performance degradation.
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