Hierarchical Adaptive Dynamic Power Management

Dynamic power management aims at extending battery life by switching devices to lower-power modes when there is a reduced demand for service. Static power management strategies can lead to poor performance or unnecessary power consumption when there are wide variations in the rate of requests for service. This paper presents a hierarchical scheme for adaptive dynamic power management (DPM) under nonstationary service requests. As the main theoretical contribution, we model the nonstationary request process as a Markov-modulated process with a collection of modes, each corresponding to a particular stationary request process. Optimal DPM policies are precalculated offline for selected modes using standard algorithms available for stationary Markov decision processes (MDPs). The power manager then switches online among these policies to accommodate the stochastic mode-switching request dynamics using an adaptive algorithm to determine the optimal switching rule based on the observed samp...

• Type: Conference
• Year: 2004
• Where: DATE
• Authors: Zhiyuan Ren, Bruce H. Krogh, Radu Marculescu
• Keywords: DATE 2004, Hardware, Nonstationary Request Process, Power Management, Request Process