DocumentCode :
695232
Title :
Paying to save: Reducing cost of colocation data center via rewards
Author :
Islam, Mohammad A. ; Mahmud, Hasan ; Shaolei Ren ; Xiaorui Wang
Author_Institution :
Florida Int. Univ., Miami, FL, USA
fYear :
2015
fDate :
7-11 Feb. 2015
Firstpage :
235
Lastpage :
245
Abstract :
Power-hungry data centers face an urgent pressure on reducing the energy cost. The existing efforts, despite being numerous, have primarily centered around owner-operated data centers (e.g., Google), leaving another critical data center segment - colocation data center (e.g., Equinix) which rents out physical space to multiple tenants for housing their own servers - much less explored. Colocations have a major barrier to achieve cost efficiency: server power management by individual tenants is uncoordinated. This paper proposes RECO (REward for COst reduction), which shifts tenants\´ power management from uncoordinated to coordinated, using financial reward as a lever. RECO pays (voluntarily participating) tenants for energy reduction such that the colocation operator\´s overall cost is minimized. RECO incorporates the time-varying operation environment (e.g., cooling efficiency, intermittent renewables), addresses the peak power demand charge, and also proactively learns tenants\´ unknown responses to the offered reward. RECO includes a new feedback-based online algorithm to optimize the reward without far future offline information. We evaluate RECO using both scaled-down prototype experiments and simulations. Our results show that RECO is "win-win" and can successfully reduce the colocation operator\´s overall cost, by up to 27% compared to the no-incentive baseline case. Further, tenants receive financial rewards (up to 15% of their colocation costs) for "free" without violating Service Level Agreements.
Keywords :
computer centres; cost reduction; energy conservation; power aware computing; Equinix; RECO; colocation data center; colocation operator overall cost; cooling efficiency; cost efficiency; critical data center segment; energy cost reduction; energy reduction; feedback-based online algorithm; financial reward; intermittent renewables; owner-operated data centers; power demand charge; power-hungry data centers; reward for cost reduction; server power management; service level agreements; time-varying operation environment; voluntarily participating tenants; Cooling; Electricity; Power demand; Power measurement; Pricing; Servers; Solar energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computer Architecture (HPCA), 2015 IEEE 21st International Symposium on
Conference_Location :
Burlingame, CA
Type :
conf
DOI :
10.1109/HPCA.2015.7056036
Filename :
7056036
Link To Document :
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