System-level power-aware scheduling by operation-based prediction

Kuei Chang Chung*, Tien-Fu Chen, Wei Yen Chuang

*Corresponding author for this work

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

Abstract

Mobile devices have become more and more popular, and portable systems require long battery lifetime to provide services as long as possible while still delivering high performance. Dynamic power management (DPM) policies trade the performance for the power saving by selectively placing components into low-power states. In this paper, we propose a power-aware OS scheduler for reducing power consumption. We also extend the battery lifetime by predicting the IO-burst in each process. In round robin scheduling, each process is executed into several rounds, and the IO-burst can be predicted precisely. When processes are properly scheduled, we can save power consumption without losing performance. We also consider battery characteristics to schedule processes to make the capacity of the battery to be approximate to ideal. Experimental results show that our method achieves high hit rate and the battery lifetime can be extended to 38%.

Original languageEnglish
Title of host publicationProceedings of the 2005 International Conference on Pervasive Systems and Computing, PSC'05
Pages154-160
Number of pages7
StatePublished - 1 Dec 2005
Event2005 International Conference on Pervasive Systems and Computing, PSC'05 - Las Vegas, NV, United States
Duration: 27 Jun 200530 Jun 2005

Publication series

NameProceedings of the 2005 International Conference on Pervasive Systems and Computing, PSC'05

Conference

Conference2005 International Conference on Pervasive Systems and Computing, PSC'05
CountryUnited States
CityLas Vegas, NV
Period27/06/0530/06/05

Keywords

  • Embedded system
  • Low power
  • Scheduling

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