Multi-level power consumption model and energy-aware server selection algorithm Online publication date: Sun, 05-Nov-2017
by Hiroki Kataoka; Shigenari Nakamura; Dilawaer Duolikun; Tomoya Enokido; Makoto Takizawa
International Journal of Grid and Utility Computing (IJGUC), Vol. 8, No. 3, 2017
Abstract: Electric power consumed by servers has to be reduced in a cluster in order to realise eco society. We take a macro-level approach to reducing the total electric energy consumption of servers to perform application processes. In this paper, we discuss a Multi-Level Power Consumption (MLPC) model of a server with a multi-thread CPU and a Multi-Level Computation (MLC) model. Based on the MLPC and the MLC models, we newly propose an energy-aware (EA) algorithm to select a server for each process requested by a client in a cluster to reduce the total electric energy consumption of the cluster while satisfying deadline requirements of the processes. We evaluate the EA algorithm and show that not only the total electric energy consumption of servers but also the average execution time of each process are reduced in the EA algorithm compared with the round-robin (RR) and random (RD) algorithms.
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