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arXiv · 1304.1590

Online Power-Managing Strategy with Hard Real-Time Guarantees

Jian-Jia Chen·Mong-Jen Kao·D. T. Lee·Ignaz Rutter·Dorothea Wagner
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Abstract

We consider the problem of online dynamic power management that provides hard real-time guarantees. In this problem, each of the given jobs is associated with an arrival time, a deadline, and an execution time, and the objective is to decide a schedule of the jobs as well as a sequence of state transitions on the processors so as to minimize the total energy consumption. In this paper, we examine the problem complexity and provide online strategies to achieve energy-efficiency. First, we show that the competitive factor of any online algorithm for this problem is at least 2.06. Then we present an online algorithm which gives a 4-competitive schedule. When the execution times of the jobs are unit, we show that the competitive factor improves to 3.59. At the end, the algorithm is generalized to allow a trade-off between the number of processors we use and the energy-efficiency of the resulting schedule.

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Jian-Jia Chen, Mong-Jen Kao, D. T. Lee, Ignaz Rutter, Dorothea Wagner. 2013-04-08. Online Power-Managing Strategy with Hard Real-Time Guarantees. https://arxiv.org/abs/1304.1590

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