Publication | Closed Access
WattApp
79
Citations
20
References
2010
Year
Unknown Venue
Cluster ComputingEngineeringCalibration RunsEnergy EfficiencyComputer ArchitectureDatacenter-scale ComputingPower DrawnData ScienceGreen Data CenterParallel ComputingPower-aware SoftwarePower-aware ComputingData CenterComputer EngineeringData CentersComputer ScienceSmart GridEdge ComputingCloud ComputingPower-efficient Computing
The increasing heterogeneity between applications in emerging virtualized data centers like clouds introduce significant challenges in estimating the power drawn by the data center. In this work, we presentWattApp: an application-aware power meter for shared data centers that addresses this challenge. In order to deal with heterogeneous applications, WattApp introduces application parameters (e.g, throughput) in the power modeling framework. WattApp is based on a carefully designed set of experiments on a mix of diverse applications: power benchmarks, web-transaction workloads, HPC workloads and I/O-intensive workloads. Given a set of N applications and M server types, WattApp runs in O(N) time, uses O(NxM) calibration runs, and predicts the power drawn by any arbitrary placement within 5%of the real power for the applications studied.
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