Paper Info
Title
Colocation Demand Response: Joint Online Mechanisms for Individual Utility and Social Welfare Maximization.
Abstract
Data centers with high yet elastic energy demand are ideal candidates for participation in demand response programs. This paper studies emergency demand response (EDR) at multi-tenant colocation data centers (colocations). While the colocation has no direct control over tenants’ servers, we design online mechanisms to incentivize and coordinate tenants’ energy reduction. Our mechanism is online in nature, aiming to maximize not only social welfare but also tenant utility. Our main proposal is a truthful incentive auction that provides tenants with monetary remuneration for EDR energy reduction, minimizing social cost, which combines seamlessly with an online primal-dual framework for each tenant to schedule their delay-tolerant workloads. The online optimization at each tenant targets its utility maximization, concurrently reporting valuation functions for the tenant to participate in the auction. Our online algorithms achieve long-term performance guarantees in both tenants’ utility and social welfare maximization, while fulfilling the EDR requirement with minimal diesel generation. We validate the efficiency of our algorithms through both the theoretical analysis and real-world trace-driven simulations.
Year
DOI
Venue
2016
10.1109/JSAC.2016.2611918
IEEE Journal on Selected Areas in Communications
Keywords
Field
DocType
Servers,Load management,Algorithm design and analysis,Green communications,Cost accounting,Generators,Electronic mail,Energy efficiency
Load management,Online algorithm,Remuneration,Incentive,Efficient energy use,Computer science,Server,Demand response,Computer network,Cost accounting
Journal
Volume
Issue
ISSN
34
12
0733-8716
Citations 
PageRank 
References 
2
0.41
0
Authors
4
Name
Order
Citations
PageRank
Qihang Sun120.41
Chuan Wu21594107.96
Zongpeng Li32054153.21
Shaolei Ren4785.73