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An optimal fixed-priority assignment algorithm for supporting fault-tolerant hard real-time systems

机译:一种支持容错硬实时系统的最优固定优先级分配算法

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摘要

The main contribution of this paper is twofold. First, we present an appropriate schedulability analysis, based on response time analysis, for supporting fault-tolerant hard real-time systems. We consider systems that make use of error-recovery techniques to carry out fault tolerance. Second, we propose a new priority assignment algorithm which can be used, together with the schedulability analysis, to improve system fault resilience. These achievements come from the observation that traditional priority assignment policies may no longer be appropriate when faults are being considered. The proposed schedulability analysis takes into account the fact that the recoveries of tasks may be executed at higher priority levels. This characteristic is very important since, after an error, a task certainly has a shorter period of time to meet its deadline. The proposed priority assignment algorithm, which uses some properties of the analysis, is very efficient. We show that the method used to find out an appropriate priority assignment reduces the search space from O(n!) to O(n/sup 2/), where n is the number of task recovery procedures. Also, we show that the priority assignment algorithm is optimal in the sense that the fault resilience of task sets is maximized as for the proposed analysis. The effectiveness of the proposed approach is evaluated by simulation.
机译:本文的主要贡献是双重的。首先,我们基于响应时间分析提出了适当的可调度性分析,以支持容错的硬实时系统。我们考虑利用错误恢复技术执行容错的系统。其次,我们提出了一种新的优先级分配算法,该算法可与可调度性分析一起使用,以提高系统的故障恢复能力。这些成就来自于这样的观察:当考虑故障时,传统的优先级分配策略可能不再适用。提议的可调度性分析考虑了以下事实:可以在更高的优先级级别执行任务的恢复。此特性非常重要,因为在发生错误之后,任务肯定有较短的时间来满足其截止日期。提出的优先级分配算法非常有效,该算法利用了分析的某些属性。我们表明,用于查找适当优先级分配的方法将搜索空间从O(n!)减少到O(n / sup 2 /),其中n是任务恢复过程的数量。同样,我们表明,就任务集的故障恢复能力而言,就建议的分析而言,优先级分配算法是最佳的。通过仿真评估了该方法的有效性。

著录项

  • 作者

    Lima G M D; Burns A;

  • 作者单位
  • 年度 2003
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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