Online Power-Managing Strategy with Hard Real-Time Guarantees
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.
Cite
@article{arxiv.1304.1590,
title = {Online Power-Managing Strategy with Hard Real-Time Guarantees},
author = {Jian-Jia Chen and Mong-Jen Kao and D. T. Lee and Ignaz Rutter and Dorothea Wagner},
journal= {arXiv preprint arXiv:1304.1590},
year = {2013}
}