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

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

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Design, Automation, and Test in Europe archive
Proceedings of the conference on Design, automation and test in Europe table of contents

Munich, Germany

SESSION: Advanced power management techniques table of contents

Pages 236-241

Year of Publication: 2008

ISBN:978-3-9810801-3-1

Authors

Shaobo Liu	Binghamton University, State University of New York, Binghamton, New York
Qinru Qiu	Binghamton University, State University of New York, Binghamton, New York
Qing Wu	Binghamton University, State University of New York, Binghamton, New York

Sponsors

: IEEE Council on Electronic Design Automation (CEDA)
EDAA : European Design Automation Association
: The EDA Consortium
SIGDA: ACM Special Interest Group on Design Automation
RAS : RAS
: The IEEE Computer Society TTTC
: ECSI

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 11, Downloads (12 Months): 60, Citation Count: 1

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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%.

REFERENCES

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