WattApp

Ricardo Koller, Akshat Verma, Anindya Neogi
2010 Proceeding of the 7th international conference on Autonomic computing - ICAC '10  
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 present WattApp: 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
more » ... iments 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(N × M ) calibration runs, and predicts the power drawn by any arbitrary placement within 5% of the real power for the applications studied.
doi:10.1145/1809049.1809055 dblp:conf/icac/KollerVN10 fatcat:effu3v5f4vgcrp74xnym63kdza