Robust and Adaptive Dynamic Power Management for Time Varying System

摘要：

Dynamic Power Management (DPM) is an effective power reduction technique to dynamically control power state of system components. Although there are already a lot of papers on DPM, few of them present robust and adaptive solution to handle the inherent time varying behavior of real world system.In this paper, we propose techniques for DPM targeting on the time varying behaviors. In our approach, we apply efficient policy optimization method to generate power management policy online and achieve adaptiveness. Moreover, in order to handle the small scale varying behavior (perturbation) that tends to significantly degrade the performance of DPM, we apply the Bounded Parameter Markov Decision Process and Interval Value Iteration to derive robust policy tolerant to perturbations. Simulation results show that the proposed techniques are indeed effective.

作者: Min Li Xiaobo Wu Ping Li Xiaolang Yan

作者单位: Institute of VLSI Design, Zhejiang University;School of Information Science and Engineering, Zhejian Institute of VLSI Design, Zhejiang University School of Information Science and Engineering, Zhejiang University

会议类型: 国际会议

会议名称: 首届嵌入式软件与系统国际会议(Proceedings of the First International Conference on Embedded Software and System)

会议地点: 杭州

会议语种:英文

页码: 378-384

在线出版日期: 2004-12-09（万方平台首次上网日期，不代表论文的发表时间）