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Hierarchical adaptive dynamic power management

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3 Author(s)
Zhiyuan Ren ; Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA ; Krogh, B.H. ; Marculescu, R.

The main contribution of this paper is a novel hierarchical scheme for adaptive dynamic power management (DPM) under nonstationary service requests. We model the nonstationary arrival process of service requests as a Markov-modulated stochastic process in which the stochastic process for each modulation state models a particular stationary mode of the arrival process. The bottom layer of our hierarchical architecture is a set of stationary optimal DPM policies, pre-calculated off-line for selected modes from policy optimization in Markov decision processes. The supervisory power manager at the top layer adaptively and optimally switches among these stationary policies on-line to accommodate the actual mode-switching arrival dynamics. Simulation results show that our approach, under highly nonstationary requests, can lead to significant power savings compared to previously proposed heuristic approaches.

Published in:

Design, Automation and Test in Europe Conference and Exhibition, 2004. Proceedings  (Volume:1 )

Date of Conference:

16-20 Feb. 2004