Static Task Scheduling Algorithms Based on Greedy Heuristics for Battery-Powered DVS Systems

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概要

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• The principles for good design of battery-aware voltage scheduling algorithms for both aperiodic and periodic task sets on dynamic voltage scaling (DVS) systems are presented. The proposed algorithms are based on greedy heuristics suggested by several battery characteristics and Lagrange multipliers. To construct the proposed algorithms, we use the battery characteristics in the early stage of scheduling more properly. As a consequence, the proposed algorithms show superior results on synthetic examples of periodic and aperiodic tasks from the task sets which are excerpted from the comparative work, on uni- and multi-processor platforms, respectively. In particular, for some large task sets, the proposed algorithms enable previously unschedulable task sets due to battery exhaustion to be schedulable.

• 2010-10-01

著者

• Zeng Gang

  Graduate School Of Information Science Nagoya University

• YOKOYAMA Tetsuo

  Department of Neurosurgery, Hamamatsu University School of Medicine

• Takada Hiroaki

  Graduate School Of Information Science Nagoya University

• Takada Hiroaki

  Department Of Electrical Engineering Chiba University

• Yokoyama Tetsuo

  Graduate School of Information Science, Nagoya University

• Tomiyama Hiroyuki

  Graduate School Of Information Science Nagoya University

• Tomiyama Hiroyuki

  College Of Science And Engineering Ritsumeikan University

• Yokoyama Tetsuo

  Department Of Software Engineering Nanzan University

• Yokoyama Tetsuo

  Department Of Neurosurgery Hamamatsu University School Of Medicine

• ZENG Gang

  College of Science and Engineering, Ritsumeikan University

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