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- W2110512440 abstract "In this paper, we present a dynamic scheduling algorithm to minimize the energy consumption by both the DVS processor and peripheral devices in a weakly hard real-time system. In our approach, we first use a new static approach to partition real-time jobs into mandatory and optional part to meet the weakly hard real-time constraints. We then adopt an on-line approach that can effectively exploit the run-time variations and reduce the preemption impacts to leverage the energy saving performance. Extensive simulation studies demonstrate that our approach can effectively reduce the system-wide energy consumption while guaranteeing the weakly hard constraints" @default.
- W2110512440 created "2016-06-24" @default.
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- W2110512440 date "2007-04-01" @default.
- W2110512440 modified "2023-10-14" @default.
- W2110512440 title "Peripheral-Conscious Scheduling on Energy Minimization for Weakly Hard Real-time Systems" @default.
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- W2110512440 doi "https://doi.org/10.1109/date.2007.364387" @default.
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