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Response Time Analysis of Asynchronous Real-Time Systems

机译:异步实时系统的响应时间分析

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In asynchronous real-time systems the time when all events occur can not be predicted beforehand. Systems with sporadic tasks, or that operate a protocol for sharing resources like the priority ceiling protocol, for example, are asynchronous real-time systems. In this paper, we present a sufficient and efficient response time based analysis technique for computing R_i(k), the worst case response time at each invocation k of the periodic tasks of real-time asynchronous systems. In addition, efficient idle time computation for asynchronous systems is presented. This analysis technique can be applied to the analysis of several process models including weakly hard real-time systems, and slack management techniques like aperiodic servers and slack stealing algorithms. It is also shown that the pattern of response times of tasks in a hyperperiod is pseudoperiodic and that the maximum response time instants tend to occur evenly separated within the hyperperiod.
机译:在异步实时系统中,无法预先预测所有事件发生的时间。例如,具有零星任务的系统或操作用于共享资源的协议(例如优先级上限协议)的系统是异步实时系统。在本文中,我们提出了一种基于响应时间的足够有效的分析技术来计算R_i(k),即实时异步系统的周期性任务的每次调用k时的最坏情况响应时间。另外,提出了用于异步系统的有效空闲时间计算。这种分析技术可以应用于多种过程模型的分析,包括实时性较弱的系统以及诸如非周期性服务器和偷窃算法之类的松弛管理技术。还显示出,在超周期中任务的响应时间模式是伪周期的,并且最大响应时间瞬间倾向于在超周期内均匀地发生。

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