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Peripheral-Conscious Scheduling on Energy Minimization for Weakly Hard Real-time Systems

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2 Author(s)
Linwei Niu ; Dept. of Comput. Sci. & Eng., South Carolina Univ., Columbia, SC ; Gang Quan

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

Published in:

Design, Automation & Test in Europe Conference & Exhibition, 2007. DATE '07

Date of Conference:

16-20 April 2007

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