Energy aware dynamic voltage and frequency selection for real-time systems with energy harvesting

Shaobo Liu, Qinru Qiu, Qing Wu

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

73 Scopus citations

Abstract

In this paper, an energy aware dynamic voltage and frequency selection (EA-DVFS) algorithm is proposed. The EA-DVFS algorithm adjusts the processor's behavior depending on the summation of the stored energy and the harvested energy in a future duration. Specifically, if the system has sufficient energy, tasks are executed at full speed; otherwise, the processor slows down task execution to save energy. Simulation results show that when the utilization is low, the EA-DVFS algorithm gives a deadline miss rate that is at least 50% lower than the one given by the lazy scheduling policy. Similarly, when the workload is low, the minimum storage size is reduced by at least 25%.

Original languageEnglish (US)
Title of host publicationDesign, Automation and Test in Europe, DATE 2008
Pages236-241
Number of pages6
DOIs
StatePublished - Aug 25 2008
Externally publishedYes
EventDesign, Automation and Test in Europe, DATE 2008 - Munich, Germany
Duration: Mar 10 2008Mar 14 2008

Publication series

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

Other

OtherDesign, Automation and Test in Europe, DATE 2008
CountryGermany
CityMunich
Period3/10/083/14/08

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Liu, S., Qiu, Q., & Wu, Q. (2008). Energy aware dynamic voltage and frequency selection for real-time systems with energy harvesting. In Design, Automation and Test in Europe, DATE 2008 (pp. 236-241). [4484692] (Proceedings -Design, Automation and Test in Europe, DATE). https://doi.org/10.1109/DATE.2008.4484692