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Empirical and analytical approaches for web server power modeling
2014
Cluster Computing
Power-aware computing has emerged as a significant concern in data centers. In this work, we develop empirical models for estimating the power consumed by web servers. These models can be used by on-the-fly power-saving algorithms and are imperative for simulators that evaluate the power behavior of workloads. To apply power saving methodologies and algorithms at the data center level, we must first be able to measure or estimate the power and performance of individual servers running in the
doi:10.1007/s10586-014-0373-0
fatcat:q3tre5njxfgsbnhx5xum464ata