| 引用本文: | 翟剑锋,李衍杰,陈浩耀.动态电源管理的在线优化技术[J].控制理论与应用,2018,35(1):65~70.[点击复制] |
| ZHAI Jian-feng,LI Yan-jie,CHEN Hao-yao.Online optimization of dynamic power management[J].Control Theory and Technology,2018,35(1):65~70.[点击复制] |
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| 动态电源管理的在线优化技术 |
| Online optimization of dynamic power management |
| 摘要点击 2441 全文点击 1266 投稿时间：2016-11-16 修订日期：2017-10-21 |
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| DOI编号 10.7641/CTA.2017.60857 |
| 2018,35(1):65-70 |
| 中文关键词 动态电源管理 智能节能 半Markov决策过程 在线优化 |
| 英文关键词 dynamic power management intelligent energy saving semi-Markov decision process online optimization |
| 基金项目 国家自然科学基金项目(61004036), 深圳市基础计划项目(JCYJ20150731105106111)资助. |
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| 中文摘要 |
| 研究离散事件动态系统中的一类随机离散动态系统—–半Markov决策过程, 在动态电源管理问题中的应用.
动态电源管理问题存在于很多便携式电子设备中, 其主要目的是根据电子设备的状态通过电源管理策略选择关闭
或休眠一些元器件, 从而实现节省电子设备功耗, 延长电池使用时间的目的. 首先讨论了动态电源管理问题的建模,
给出了一种带有禁止时间的在线优化方法, 该方法通过设备自身运行数据, 自主地学习并改进电源的动态管理策
略, 从而使每台电子设备具有个性化的动态电源管理方式, 其优化过程可以在设备充电时完成, 不需要通过云传输
和云计算, 避免了隐私数据的泄漏. 最后通过仿真实验验证了算法的有效性. |
| 英文摘要 |
| This paper mainly considers the application of Semi-Markov decision process (SMDP), which is a stochastic
discrete event dynamic system (DEDS), in the dynamic power management (DPM) problems. There are the DPM problems
in many portable devices, which can provide satisfactory performance with minimum power consumption by selectively
turning off system components, which enter the idle state, to save the energy consumption and prolong the service time.
Firstly, the SMDP model of DPM is introduced and then an online optimization approach with forbidden time is presented.
This approach can learn to improve the policy of DPM by analyzing the data from the device itself and make the device
have an individual power management policy. The optimization can be implemented during the charging and thus does
not need the cloud transportation and computation, which avoids the leak of private data. Finally, a simulation example is
applied to illustrate the applicability of the approach. |
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