| 基于AR模型的PCF动态电源管理预测策略 |
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| 引用本文： | 卜爱国,刘昊,胡晨,王超. 基于AR模型的PCF动态电源管理预测策略[J]. 应用科学学报, 2005, 23(5): 483-488 |
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| 作者姓名： | 卜爱国 刘昊 胡晨 王超 |
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| 作者单位： | 东南大学国家专用集成电路系统工程技术研究中心, 江苏南京 210096 |
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| 摘 要： | 基于AR(auto-regressive)模型提出了一种新颖的预测控制反馈(predictive-control-feedback,PCF)预测策略,该策略能够很好地解决某些文献所提出策略中存在的问题.实验结果表明,PCF策略具有稳定性;与其他预测性策略相比,该策略能够进一步降低系统的平均功耗.
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| 关 键 词： | 嵌入式系统 预测策略 动态电源管理 AR模型 |
| 文章编号： | 0255-8297（2005）05-0483-06 |
| 收稿时间： | 2004-05-15 |
| 修稿时间： | 2004-05-152004-09-01 |
PCF Dynamic Power Management Predictive Policy Based on AR Model |
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| 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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| Authors: | BU Ai-guo LIU Hao HU Chen WANG Chao |
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| Affiliation: | National ASIC System Engineering Research Center, Southeast University, Nanjing 210096, China |
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| 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. |
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| Keywords: | embedded system dynamic power management AR model predictive policy |
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