Paper Info
Title
Optimal power and workload management for green data centers with thermal storage
Abstract
Reducing the carbon footprint of data centers is becoming a primary goal of large IT companies. Due to the intermittency and unpredictability of renewable energy sources such as wind and solar, it is quite challenging to utilize them in data centers. In this paper, we explore the opportunities offered by delay-tolerant workloads and thermal storage to facilitate the renewable energy integration in data centers and meanwhile, reduce the cost of using brown energy (i.e., energy from the utility grid). A stochastic optimization problem is formulated to tackle the stochastic renewable generation and workload arrival processes. Then, an online control algorithm based on the Lyapunov optimization approach is proposed to solve it. Simulation results based on the real-world traces show the effectiveness of the algorithm in practice.
Year
DOI
Venue
2013
10.1109/GLOCOM.2013.6831509
GLOBECOM
Keywords
Field
DocType
optimisation,renewable energy,wind energy,computer centres,optimal power management,solar power,renewable energy sources,renewable energy integration,data center,online control,workload arrival process,carbon footprint reduction,utility grid,workload management,lyapunov optimization,batch workloads,power grids,brown energy,thermal storage,solar energy,stochastic renewable generation,wind power,delay-tolerant workloads,lyapunov methods,stochastic optimization problem,green data centers,algorithm design and analysis,optimization,servers,electricity,energy storage
Energy storage,Stochastic optimization,Renewable energy,Computer science,Lyapunov optimization,Real-time computing,Carbon footprint,Distributed generation,Intermittent energy source,Grid
Conference
ISSN
Citations 
PageRank 
2334-0983
2
0.38
References 
Authors
6
5
Name
Order
Citations
PageRank
Yuanxiong Guo126721.50
Yanmin Gong213316.82
Yuguang Fang36982476.76
Pramod P. Khargonekar4690198.69
Xiaojun Geng5849.59