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Analyzing fault tolerance using DREDD

机译:使用DREDD分析容错

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Combinatorial models, such as fault trees, digraphs and reliability block diagrams, usually use cutset-based techniques for quantitative analysis. Recent research has suggested that the Binary Decision Diagram (BDD) offers an efficient solution alternative. However, combinatorial models by themselves are not sufficient for the analysis of fault tolerant systems unless augmented by a cover-age model, which assesses the effectiveness of the recovery mechanisms incorporated for fault tolerance. In this paper, we describe the DREDD algorithm (Dependability and Risk Evaluation using Decision Diagrams), which effectively combines the BDD solution method for a combinatorial model with the solution of a coverage model. Three example fault tolerant systems are analyzed using DREDD.
机译:诸如故障树,有向图和可靠性框图之类的组合模型通常使用基于割集的技术进行定量分析。最近的研究表明,二元决策图(BDD)提供了一种有效的解决方案。但是,组合模型本身不足以分析容错系统,除非通过覆盖率模型进行了扩充,该模型评估了为容错而合并的恢复机制的有效性。在本文中,我们描述了DREDD算法(使用决策图进行可靠性和风险评估),该算法有效地将针对组合模型的BDD解决方案方法与覆盖模型的解决方案结合在一起。使用DREDD分析了三个示例容错系统。

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