Parallel Architectures, Algorithms and Programming, International Symposium on (2011)
Dec. 9, 2011 to Dec. 11, 2011
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PAAP.2011.20
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.
Dynamic Voltage Scaling, probability, real-time
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