基于AR模型的PCF动态电源管理预测策略

Journal of Applied Sciences ›› 2005, Vol. 23 ›› Issue (5): 483-488.

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PCF Dynamic Power Management Predictive Policy Based on AR Model

BU Ai-guo, LIU Hao, HU Chen, WANG Chao

National ASIC System Engineering Research Center, Southeast University, Nanjing 210096, China

Received:2004-05-15 Revised:2004-09-01 Online:2005-09-30 Published:2005-09-30

Abstract

Abstract: Energy consumption is an important design criterion for embedded and portable systems.Dynamic power management (DPM) is aimed at reducing power consumption of electronic systems by selectively shutting down idle components.In this paper, a novel PCF DPM policy based on an AR model is presented, which can solve the problems as mentioned in some publications.Experimental results show that the PCF policy is stable and the average power consumption of system can be further reduced as compared to other predictive policies.

Key words: embedded system, dynamic power management, AR model, predictive policy

CLC Number:

TN91

BU Ai-guo, LIU Hao, HU Chen, WANG Chao. PCF Dynamic Power Management Predictive Policy Based on AR Model[J]. Journal of Applied Sciences, 2005, 23(5): 483-488.

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PCF Dynamic Power Management Predictive Policy Based on AR Model

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