Paper Info
Title
Energy and Network Aware Workload Management for Sustainable Data Centers with Thermal Storage
Abstract
Reducing the carbon footprint of data centers is becoming a primary goal of large IT companies. Unlike traditional energy sources, renewable energy sources are usually intermittent and unpredictable. How to better utilize the green energy from these renewable sources in data centers is a challenging problem. In this paper, we exploit the opportunities offered by geographical load balancing, opportunistic scheduling of delay-tolerant workloads, and thermal storage management in data centers to facilitate green energy integration and reduce the cost of brown energy usage. Moreover, bandwidth cost variations between users and data centers are considered. Specifically, this problem is first formulated as a stochastic program, and then, an online control algorithm based on the Lyapunov optimization technique, called Stochastic Cost Minimization Algorithm (SCMA), is proposed to solve it. The algorithm can enable an explicit trade-off between cost saving and workload delay. Numerical results based on real-world traces illustrate the effectiveness of SCMA in practice.
Year
DOI
Venue
2014
10.1109/TPDS.2013.278
IEEE Trans. Parallel Distrib. Syst.
Keywords
Field
DocType
stochastic program,power aware computing,scheduling,opportunistic scheduling,computer centres,energy management,lyapunov optimization technique,sustainable development,renewable energy sources,thermal storage management,green energy integration,resource allocation,geographical load balancing,sustainable data centers,data center,stochastic cost minimization algorithm,green energy,brown energy usage,carbon footprint reduction,online control algorithm,network aware workload management,lyapunov optimization,thermal storage,load scheduling,delay-tolerant workloads,green computing,energy aware workload management,scma,stochastic programming,optimization,electricity,bandwidth,energy storage
Energy storage,Energy management,Renewable energy,Computer science,Scheduling (computing),Load balancing (computing),Real-time computing,Lyapunov optimization,Energy source,Data center,Distributed computing
Journal
Volume
Issue
ISSN
25
8
1045-9219
Citations 
PageRank 
References 
12
0.57
0
Authors
5
Name
Order
Citations
PageRank
Yuanxiong Guo126721.50
Yanmin Gong213316.82
Yuguang Fang36982476.76
Pramod P. Khargonekar4690198.69
Xiaojun Geng5849.59