Dynamic power allocation in server farms: A real time optimization approach

  • Mohammadreza Aghajani
  • , Luca Parolini
  • , Bruno Sinopoli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

This paper concerns the power minimization problem in server farms. The power minimization problem over dynamic power allocation schemes is formally defined and formulated as an optimization problem. It is shown that finding the optimal solution for this optimization problem is not feasible. Inspired by control theory, a well-established method to optimize a cost function over the constraints imposed by the evolution of a dynamical system, called Real-Time Optimization (RTO), is invoked to find a sub-optimal solution for the power minimization problem. The obtained algorithm is simulated and compared with the state-of-the-art optimal static power allocation solution. A considerable improvement in energy consumption is attained for the same quality of service (QoS) level, when dynamic power allocation is used.

Original languageEnglish
Title of host publication2010 49th IEEE Conference on Decision and Control, CDC 2010
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3790-3795
Number of pages6
ISBN (Print)9781424477456
DOIs
StatePublished - 2010
Event49th IEEE Conference on Decision and Control, CDC 2010 - Atlanta, United States
Duration: Dec 15 2010Dec 17 2010

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference49th IEEE Conference on Decision and Control, CDC 2010
Country/TerritoryUnited States
CityAtlanta
Period12/15/1012/17/10

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