Predictive Dynamic Power Management Policy with Consideration of Outlying Data

Reducing energy consumption has emerged as one of the key issues in designing electronic system. This paper proposes a predictive dynamic power management policy. The policy uses AR model to predict the upcoming idle period and introduces a mechanism that processes the outlying data of idle periods to improve the prediction accuracy. Simulation results show that the proposed policy achieves a high degree of power saving and good stability