Minimizing energy consumption of hard real-time systems with simultaneous tasks scheduling and voltage assignment using statistical data

  • Authors:
  • Lap-Fai Leung;Chi-Ying Tsui;Wing-Hung Ki

  • Affiliations:
  • Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR, China;Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR, China;Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR, China

  • Venue:
  • Proceedings of the 2004 Asia and South Pacific Design Automation Conference
  • Year:
  • 2004

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Abstract

In this papers, we tackle the problem of minimizing the energy consumption of single-processor-core systems in both offline and online phases. The tasks are reordered in the offline scheduling by taking into account the statistical information such that on average more slacks will be resulted during the tasks' execution. The energy consumption is further optimized by optimally re-distributing the slack time and re-assigning the voltage for each task at runtime. Also, the correlations among the tasks are considered. Experimental results show that more than half of the energy reductions are achieved using the proposed approaches.