Title: Multi-level power consumption model and energy-aware server selection algorithm

Authors: Hiroki Kataoka; Shigenari Nakamura; Dilawaer Duolikun; Tomoya Enokido; Makoto Takizawa

Addresses: Department of Advanced Sciences, Hosei University, Tokyo, Japan ' Department of Advanced Sciences, Hosei University, Tokyo, Japan ' Department of Advanced Sciences, Hosei University, Tokyo, Japan ' Faculty of Business Administration, Rissho University, Tokyo, Japan ' Department of Advanced Sciences, Hosei University, Tokyo, Japan

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.

Keywords: MLPC; multi-level power consumption model; MLC; multi-level computation model; EA; energy-aware server selection algorithm.

DOI: 10.1504/IJGUC.2017.087810

International Journal of Grid and Utility Computing, 2017 Vol.8 No.3, pp.201 - 210

Available online: 31 Oct 2017 *

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