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International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)
Xie Yi
Xie Yi
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This paper presents an energy-efficient scheduling algorithm with accrual utility in battery-powered embedded systems. We propose our Two-Step Energy-Efficient Algorithm (TSEEA), which comprises two parts: a static algorithm, which runs offline and achieves the static execution frequencies of all tasks under conservative conditions; and a dynamic one, which strives to reclaim slack time and effectively tunes execution frequency of candidate task in a timely manner. Compared with other algorithms, our algorithm can fully exploit a supply of limited energy to yield more utility. The experiments validate our analytical results and demonstrate that the proposed algorithm outperforms other existing algorithms with respect to utility.

Key Words
1. Introduction
2. Research Models
3. The TSEEA Algorithm
4. Experimental Results
5. Conclusions
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