A Truthful Incentive Mechanism for Emergency Demand Response in Geo-Distributed Colocation Data Centers

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. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mobile Cyber-Physical Systems for Smart Cities;Companion Proceedings of the Web Conference 2020;2020-04-20

2. A Survey on Power Management Techniques for Oversubscription of Multi-Tenant Data Centers;ACM Computing Surveys;2020-01-31

3. CloudHeat;ACM Transactions on Modeling and Performance Evaluation of Computing Systems;2018-08-08

4. Demand-Response Power Management Strategy Using Time Shifting Capabilities;Proceedings of the Ninth International Conference on Future Energy Systems;2018-06-12

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