A Joint Optimization Framework for Request Scheduling and Energy Storage Management in a Data Center

Shuang Chen, Yanzhi Wang, Massoud Pedram

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper addresses the problem of profit maximization for a data center with battery banks deployed at various levels of the power hierarchy. An optimization framework that covers the request dispatch, server resource allocation, and battery charging management is proposed. Instead of controlling the input/output power of the batteries after knowing the power profile of all other components of the data center as in a set of prior work, an optimal management policy is proposed which adjusts the power consumption (or supply) of servers and the battery banks at the same time. A response time dependent revenue model is adopted based on the delay estimation using the generalized processor sharing model. The rate capacity effect and the state of health degradation of the batteries, as well as the conversion and transmission loss in the power delivery network, are considered for the purpose of accurate power modeling and utility cost estimation. It is shown that the problem can be transformed into a series of convex optimization problems and then solved using standard solvers.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages163-170
Number of pages8
ISBN (Print)9781467372879
DOIs
StatePublished - Aug 19 2015
Externally publishedYes
Event8th IEEE International Conference on Cloud Computing, CLOUD 2015 - New York, United States
Duration: Jun 27 2015Jul 2 2015

Other

Other8th IEEE International Conference on Cloud Computing, CLOUD 2015
CountryUnited States
CityNew York
Period6/27/157/2/15

Keywords

  • Battery model
  • Cloud computing
  • Data center
  • State of health degradation

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'A Joint Optimization Framework for Request Scheduling and Energy Storage Management in a Data Center'. Together they form a unique fingerprint.

  • Cite this

    Chen, S., Wang, Y., & Pedram, M. (2015). A Joint Optimization Framework for Request Scheduling and Energy Storage Management in a Data Center. In Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015 (pp. 163-170). [7214041] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CLOUD.2015.31