基于随机模型的适应性DPM算法在Linux下的实现

针对当前电子设备能耗不断增加的问题，对Linux下的动态电源管理进行了研究，在介绍一种基于随机模型的适应性动态电源管理（DPM）算法的基础上，详细给出了该算法在Linux下的实现方案：观察器的代码驻留在内核中，用来观察系统资源的使用情况；策略优化过程利用PCx进行线性规划求解；控制器通过发出硬件命令直接控制硬件．试验结果表明，所提出的DPM算法可以有效地降低系统功耗，在实现中不需要对Linux内核进行很大的修改．对系统性能的影响几乎可以忽略．

Implementation of Adaptive DPM Algorithm Based on Stochastic Model in Linux System

In view of the rapid increase in the power consumption of electronic equipment at present,the DPM(Dynamic Power Management) in Linux system is investigated.An adaptive DPM algorithm based on the stochastic model is introduced and the corresponding implementation in Linux system is then presented.In the implementation of this proposed algorithm,the code of the observer in the kernel is used to mentor the use of system resources;PCx is adopted to carry out the linear programming asking and solving in the optimization process;and the controller sends out hardware order to directly control the hardware.Experimental results indicate that the proposed DPM algorithm can effectively reduce the energy cost of the system without great modification of the Linux kernel,and that the effects resulting from the algorithm can almost be neglected.