Stochastic modeling and optimization for robust power management in a partially observable system

Qinru Qiu, Ying Tan, Qing Wu

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

17 Scopus citations

Abstract

As the hardware and software complexity grows, it is unlikely for the power management hardware/software to have a full observation of the entire system status. In this paper, we propose a new modeling and optimization technique based on partially observable Markov decision process (POMDP) for robust power management, which can achieve near-optimal power savings, even when only partial system information is available. Three scenarios of partial observations that may occur in an embedded system are discussed and their modeling techniques are presented. The experimental results show that, compared with power management policy derived from traditional Markov decision process model that assumes the system is fully observable, the new power management technique gives significantly better performance and energy tradeoff.

Original languageEnglish (US)
Title of host publicationProceedings - 2007 Design, Automation and Test in Europe Conference and Exhibition, DATE 2007
Pages779-784
Number of pages6
DOIs
StatePublished - Sep 4 2007
Externally publishedYes
Event2007 Design, Automation and Test in Europe Conference and Exhibition - Nice Acropolis, France
Duration: Apr 16 2007Apr 20 2007

Publication series

NameProceedings -Design, Automation and Test in Europe, DATE
ISSN (Print)1530-1591

Other

Other2007 Design, Automation and Test in Europe Conference and Exhibition
CountryFrance
CityNice Acropolis
Period4/16/074/20/07

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Qiu, Q., Tan, Y., & Wu, Q. (2007). Stochastic modeling and optimization for robust power management in a partially observable system. In Proceedings - 2007 Design, Automation and Test in Europe Conference and Exhibition, DATE 2007 (pp. 779-784). [4211895] (Proceedings -Design, Automation and Test in Europe, DATE). https://doi.org/10.1109/DATE.2007.364385