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Parallel Architectures, Algorithms and Programming, International Symposium on (2011)
Tianjin, China
Dec. 9, 2011 to Dec. 11, 2011
ISBN: 978-0-7695-4575-2
pp: 87-91
ABSTRACT
Energy-saving is extraordinary important for real-time systems. Dynamic Voltage Scaling as one of the prime and effective techniques is popular with tasks scheduling. Due to un-ignorable frequency tradeoff, even some strategies consider the penalty, deadline misses occur frequently and produces much extra energy dissipation. In this paper, we propose an optimal soft real-time dynamic program scheme by using quantitative switch tradeoff for multitasks scheduling with uncertain execution time. The simulation results show that our approach achieves significant energy-saving than existing solutions.
INDEX TERMS
Dynamic Voltage Scaling, probability, real-time
CITATION
Longxin Zhang, Kenli Li, "Energy Minimization for Software Real-Time Systems with Uncertain Execution Time", Parallel Architectures, Algorithms and Programming, International Symposium on, vol. 00, no. , pp. 87-91, 2011, doi:10.1109/PAAP.2011.20
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