A Truthful FPTAS Mechanism for Emergency Demand Response in Colocation Data Centers
Jianhai Chen, Deshi Ye, Shouling Ji, Qinming He, Yang Xiang, Zhenguang, Liu

TL;DR
This paper introduces MEDR, a truthful, efficient FPTAS mechanism for emergency demand response in colocation data centers, optimizing energy reduction while ensuring truthful participation and practical applicability.
Contribution
The paper formalizes the MEDR problem, designs a truthful FPTAS mechanism, and demonstrates its effectiveness through simulations on real smart grid data.
Findings
Mechanism is truthful and approximates within 1+ε
Achieves polynomial running time in number of tenants and 1/ε
Effective in reducing social cost and ensuring tenant utility
Abstract
Demand response (DR) is not only a crucial solution to the demand side management but also a vital means of electricity market in maintaining power grid reliability, sustainability and stability. DR can enable consumers (e.g. data centers) to reduce their electricity consumption when the supply of electricity is a shortage. The consumers will be rewarded in the case of DR if they reduce or shift some of their energy usage during peak hours. Aiming at solving the efficiency of DR, in this paper, we present MEDR, a mechanism on emergency DR in colocation data center. First, we formalize the MEDR problem and propose a dynamic programming to solve the optimization version of the problem. We then design a deterministic mechanism as a solution to solve the MEDR problem. We show that our proposed mechanism is truthful. Next, we prove that our mechanism is an FPTAS, i.e., it can be approximated…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAuction Theory and Applications · Smart Grid Energy Management · Optimization and Search Problems
