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

Authors:
Shaobo Liu;Qinru Qiu;Qing Wu
Affiliations:
Binghamton University, State University of New York, Binghamton, New York;Binghamton University, State University of New York, Binghamton, New York;Binghamton University, State University of New York, Binghamton, New York
Venue:
Proceedings of the conference on Design, automation and test in Europe
Year:
2008

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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%.