Based on the average arrival rate of the event in stochastic process and Rate-Monotonic scheduling algorithm, this paper analyses the missed fault feature for aperiodic tasks and builds the model of missed fault. 文中基于随机过程中事件的平均到达率并用Rate-Monotonic调度算法,分析了非周期任务的超时特性并建立相应的超时故障模型。
Finally, the thesis proposes an improved event scheduling algorithm with the help of CPU cache. The testing results have shown that the algorithm can effectively raise the system efficiency with regard to high-strength event scheduling. 最后,论文提出了利用CPUCache改进事件调度算法的方案,测试表明,对于较大强度的事件调度,该方案能有效提升仿真系统的效率。