A Truthful Incentive Mechanism for Emergency Demand Response in Geo-Distributed Colocation Data Centers
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Published:2016-09-21
Issue:4
Volume:1
Page:1-23
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ISSN:2376-3639
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Container-title:ACM Transactions on Modeling and Performance Evaluation of Computing Systems
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language:en
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Short-container-title:ACM Trans. Model. Perform. Eval. Comput. Syst.
Author:
Zhang Linquan1,
Ren Shaolei2,
Wu Chuan3,
Li Zongpeng1
Affiliation:
1. University of Calgary
2. University of California, Riverside
3. The University of Hong Kong
Abstract
Data centers are key participants in demand response programs, including emergency demand response (EDR), in which the grid coordinates consumers of large amounts of electricity for demand reduction in emergency situations to prevent major economic losses. While existing literature concentrates on owner-operated data centers, this work studies EDR in geo-distributed multitenant colocation data centers in which servers are owned and managed by individual tenants. EDR in colocation data centers is significantly more challenging due to lack of incentives to reduce energy consumption by tenants who control their servers and are typically on fixed power contracts with the colocation operator. Consequently, to achieve demand reduction goals set by the EDR program, the operator has to rely on the highly expensive and/or environmentally unfriendly on-site energy backup/generation. To reduce cost and environmental impact, an efficient incentive mechanism is therefore needed, motivating tenants’ voluntary energy reduction in the case of EDR. This work proposes a novel incentive mechanism, Truth-DR, which leverages a reverse auction to provide monetary remuneration to tenants according to their agreed energy reduction. Truth-DR is computationally efficient, truthful, and achieves 2-approximation in colocation-wide social cost. Trace-driven simulations verify the efficacy of the proposed auction mechanism.
Funder
U.S. National Science Foundation
Hong Kong Research Grant Council
Alberta Innovates - Technology Futures
Natural Sciences and Engineering Research Council of Canada
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Hardware and Architecture,Safety, Risk, Reliability and Quality,Media Technology,Information Systems,Software,Computer Science (miscellaneous)
Cited by
4 articles.
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