Journal
PERFORMANCE EVALUATION
Volume 91, Issue -, Pages 229-254Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.peva.2015.06.014
Keywords
Demand response; Mechanism design; Multi-tenant data center; Supply function bidding
Funding
- US NSF [CNS-1319820, EPAS-1307794, CNS-1423137, CNS-1453491]
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1423137] Funding Source: National Science Foundation
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Data centers have emerged as promising resources for demand response, particularly for emergency demand response (EDR), which saves the power grid from incurring blackouts during emergency situations. However, currently, data centers typically participate in EDR by turning on backup (diesel) generators, which is both expensive and environmentally unfriendly. In this paper, we focus on greening demand response in multi-tenant data centers, i.e., colocation data centers, by designing a pricing mechanism through which the data center operator can efficiently extract load reductions from tenants during emergency periods for EDR. In particular, we propose a pricing mechanism for both mandatory and voluntary EDR programs, ColoEDR, that is based on parameterized supply function bidding and provides provably near-optimal efficiency guarantees, both when tenants are price-taking and when they are price-anticipating. In addition to analytic results, we extend the literature on supply function mechanism design, and evaluate ColoEDR using trace-based simulation studies. These validate the efficiency analysis and conclude that the pricing mechanism is both beneficial to the environment and to the data center operator (by decreasing the need for backup diesel generation), while also aiding tenants (by providing payments for load reductions). (C) 2015 Elsevier B.V. All rights reserved.
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