Skip to Main Content
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.
Design, Automation and Test in Europe Conference and Exhibition, 2004. Proceedings (Volume:1 )
Date of Conference: 16-20 Feb. 2004