Journal article

Asymptotically Optimal Job Assignment for Energy-Efficient Processor-Sharing Server Farms

Jing Fu, Bill Moran, Jun Guo, Eric WM Wong, Moshe Zukerman

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2016

Abstract

We study the problem of job assignment in a large-scale realistically dimensioned server farm comprising multiple processor-sharing servers with different service rates, energy consumption rates, and buffer sizes. Our aim is to optimize the energy efficiency of such a server farm by effectively controlling carried load on networked servers. To this end, we propose a job assignment policy, called Most energy-efficient available server first Accounting for Idle Power (MAIP), which is both scalable and near optimal. MAIP focuses on reducing the productive power used to support the processing service rate. Using the framework of semi-Markov decision process, we show that, with exponentially dist..

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University of Melbourne Researchers

Grants

Awarded by CityU Strategic Research Grants


Funding Acknowledgements

This work was supported by the CityU Strategic Research Grants under Project 7004434 and Project 7004611.