TY - GEN
T1 - Energy aware dynamic voltage and frequency selection for real-time systems with energy harvesting
AU - Liu, Shaobo
AU - Qiu, Qinru
AU - Wu, Qing
PY - 2008
Y1 - 2008
N2 - 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%.
AB - 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%.
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U2 - 10.1109/DATE.2008.4484692
DO - 10.1109/DATE.2008.4484692
M3 - Conference contribution
AN - SCOPUS:49749094350
SN - 9783981080
SN - 9789783981089
T3 - Proceedings -Design, Automation and Test in Europe, DATE
SP - 236
EP - 241
BT - Design, Automation and Test in Europe, DATE 2008
T2 - Design, Automation and Test in Europe, DATE 2008
Y2 - 10 March 2008 through 14 March 2008
ER -