Greening Multi-Tenant Data Center Demand Response
Niangjun Chen, Xiaoqi Ren, Shaolei Ren, Adam Wierman

TL;DR
This paper introduces ColoEDR, a pricing mechanism for multi-tenant data centers to efficiently reduce energy during emergencies, minimizing environmental impact and backup generator use.
Contribution
It presents a novel supply function bidding-based pricing mechanism for demand response in colocation data centers with provable near-optimal efficiency guarantees.
Findings
Reduces reliance on diesel generators during emergencies.
Provides payments to tenants for load reductions.
Validated through trace-based simulations showing environmental and economic benefits.
Abstract
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 to fulfill energy reduction requirement 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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCloud Computing and Resource Management · Smart Grid Energy Management · Caching and Content Delivery
