Energy-Efficient Heuristics for Insensitive Job Assignment in Processor-Sharing Server Farms
Jing Fu, Jun Guo, Eric WM Wong, Moshe Zukerman
IEEE Journal on Selected Areas in Communications | Institute of Electrical and Electronics Engineers | Published : 2015
Energy efficiency of server farms is an important design consideration of the green datacenter initiative. One effective approach is to optimize power consumption of server farms by controlling the carried load on the networked servers. In this paper, we propose a robust heuristic policy called E* for stochastic job assignment in a server farm, aiming to improve the energy efficiency by maximizing the ratio of job throughput to power consumption. Our model of the server farm considers a parallel system of finite-buffer processor-sharing queues with heterogeneous server speeds and energy consumption rates. We devise E* as an insensitive policy so that the stationary distribution of the number..View full abstract
Awarded by City University of Hong Kong, Kowloon Tong, Hong Kong
This work was supported by City University of Hong Kong, Kowloon Tong, Hong Kong, under Project no. 9380044. A preliminary version of this paper was presented at IEEE INFOCOM, Hong Kong, April 2015.