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2015 | OriginalPaper | Chapter

4. Joint Workload and Battery Scheduling for Data Center Energy Cost Minimization

Authors : Tao Jiang, Liang Yu, Yang Cao

Published in: Energy Management of Internet Data Centers in Smart Grid

Publisher: Springer Berlin Heidelberg

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Abstract

In practice, some workloads are delay-tolerant, which can be adopted to reduce energy cost of Internet data centers by utilizing the temporal diversity of electricity prices, i.e., executing the workloads when prices are low and delay the workloads when prices are high. To avoid the penalty for violating the service level agreements, heterogeneous service delay guarantees must be provided by Internet data center operators. Moreover, to fully utilize the temporal diversity of electricity prices, energy storage devices are incorporated. Thus, in this chapter, we focus on designing a joint workload and energy storage scheduling with heterogeneous service delay guarantees for data center energy cost minimization and propose an effective algorithm to save energy cost.

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previous chapter Carbon-Aware Energy Cost Minimization for Internet Data Centers
next chapter Risk-Constrained Operation for Internet Data Centers in Deregulated Electricity Markets
Footnotes
1
In this study, we neglect the job’s service demands in terms of memory, storage, network for simplicity. Note that they can also be considered if we extend the service demand from a scalar to a vector in which each element corresponds to one type of demand.
 
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Metadata
Title
Joint Workload and Battery Scheduling for Data Center Energy Cost Minimization
Authors
Tao Jiang
Liang Yu
Yang Cao
Copyright Year
2015
Publisher
Springer Berlin Heidelberg
Book
Energy Management of Internet Data Centers in Smart Grid

Print ISBN: 978-3-662-45675-0

Electronic ISBN: 978-3-662-45676-7

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-662-45676-7_4