基于多核处理器的节能任务调度方法

摘要

由于关系到系统的安全性及散热代价等方面,能耗问题已经成为嵌入式系统研究的重点。对于多核处理器上具有依赖关系的周期性硬实时任务,设计了一种基于动态电压调节的节能任务调度方法。该方法首先用RDAG算法将任务独立化,然后以功耗最低为原则,采用遗传算法确定任务映射。基于Intel PXA270功耗模型,采用了几个随机任务集进行仿真实验,结果表明该方法比现有的方法节省了20%～30%的能耗。%Related to the safety of system and the cost of cooling, saving energy has been an important is- sue. For periodic hard real-time tasks with dependence running on multi-core processors, an energy-effi- cient task scheduling approach based on dynamic voltage scaling （DVS） was designed. Based on inde- pendent tasks produced by the RDAG algorithm, the approach took genetic algorithm（GA） to get the opti- mal scheduling. Based on the power model of the Intel PXA270, simulation experiments were conducted with several random task graphs. Results showed that the proposed approach decreased energy effectively.