Abstract:

The policy-optimizing algorithms based on stochastic model can effectively reduce the power consumption of power state transitions for dynamic power management (DPM) and work out a better strategy. In this paper , a stochastic model based on Markov decision processes was established for the DPM system , and the corresponding algorithm was implemented in a material DPM architecture. Then , experiments for the algorithm were carried out. The results indicate that , with the proposed algorithm , different optimized policies satisfying performance requirements can be worked out in different power consumptions , that is , the algorithm strikes a balance between the performance and energy consumption. All this means that the algorithm implementation is feasible.

Key words: stochastic model, Markov chain, dynamic power management, algorithm