Energy and workload management for data centers in renewable-integrated power grid

Tianyi Chen, Xin Wang, Georgios B Giannakis

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

3 Scopus citations

Abstract

Recent advances such as high penetration of renewables, development of energy-efficient cooling facilities, and flexibility of distributed storage units, all call for a system-wide energy and workload management policy for future sustainable data centers. Leveraging stochastic optimization tools, a unified management approach is proposed allowing data centers to adaptively respond to renewable availability, cooling efficiency variation, workload shift, and energy price fluctuation under long-term quality-of-service (QoS) requirements. It is rigorously established that the proposed algorithm yields a feasible and near-optimal management strategy without knowing the distributions of random workload, renewable, and electricity price processes.

Original languageEnglish (US)
Title of host publication2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages513-517
Number of pages5
ISBN (Electronic)9781479975914
DOIs
StatePublished - Feb 23 2016
EventIEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 - Orlando, United States
Duration: Dec 13 2015Dec 16 2015

Other

OtherIEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
CountryUnited States
CityOrlando
Period12/13/1512/16/15

Keywords

  • Data center
  • cooling-aware
  • distributed storage
  • renewable generation
  • stochastic optimization

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