research-article

A load control method for small data centers participating in demand response programs

Authors:

W.S. LinAuthors Info & Claims

Future Generation Computer Systems, Volume 32, Issue C

Pages 232 - 245

Published: 01 March 2014 Publication History

Abstract

This paper presents a load control method for small data centers, which are rarely studied although they account for more than 50% of all data centers. The method utilizes the data network and the electrical network to control power usage for participation in demand response (DR) programs, which are regarded as the killer applications of the emerging smart grid (SG). Traditional data center power management often directly manipulates energy usage, which may be ineffective or impractical for small data centers due to their limited resources. Both the SG and the data centers are considered to be the cyber-physical systems (CPSs). This article proposes an approach that performs the data center DR load management through the cyberspaces of the SG and the targeted data center. The proposed method instructs the workload dispatcher to select the best-suited algorithm when a DR event is issued. Additionally, this method also adjusts the temperature set-points of the air conditioners. The simulation result shows that this approach can achieve a 30% power reduction for DR. A DR load control method for small data centers is developed.A simulator for heterogeneous clusters is designed.Power consumption model of small data centers is established.The impact of workload dispatching algorithms on energy consumption of data centers is analyzed.

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Cited By

Jiang RLu RChoo K(2018)Achieving high performance and privacy-preserving query over encrypted multidimensional big metering dataFuture Generation Computer Systems10.1016/j.future.2016.05.00578:P1(392-401)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1016/j.future.2016.05.005

A load control method for small data centers participating in demand response programs
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures

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cover image Future Generation Computer Systems

Future Generation Computer Systems Volume 32, Issue C

March 2014

347 pages

ISSN:0167-739X

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Copyright © Elsevier B.V.

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 March 2014

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Cited By

Jiang RLu RChoo K(2018)Achieving high performance and privacy-preserving query over encrypted multidimensional big metering dataFuture Generation Computer Systems10.1016/j.future.2016.05.00578:P1(392-401)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1016/j.future.2016.05.005

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