基于系统拓扑的概率诊断算法

S. Rangarajan, D. Fussell
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引用次数: 20

摘要

作者先前(1989)提出了一种算法,其中如果至少有两个处理器在任何给定的处理器上执行测试,如果每个测试者在每个被测试处理器上执行的测试次数为O(log N),则正确诊断的概率接近于N到∞。该算法基于概率系统级故障诊断的比较方法,其中处理器可以在其他处理器上执行多个测试。在这里,他们提出了一种新的分层测试算法,并证明了当测试者的数量*每个处理器上执行的测试数量的乘积从N到∞增长为O(log N)时,可以进行渐近有效的测试。因此,该方法保留了前一种方法的拓扑灵活性,同时允许每个测试人员必须执行的测试数量根据拓扑的需求进行调整。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probabilistic diagnosis algorithms tailored to system topology
The authors previously (1989) presented algorithms in which if at least two processors perform tests on any given processor, the probability of correct diagnosis approaches one as N to infinity if the number of tests performed by each tester on each processor under test is O(log N). The algorithm was based on a comparison approach to probabilistic system-level fault diagnosis in which processors may perform multiple tests on other processors. Here they present a new hierarchical testing algorithm for this model and show that asymptotically efficient testing can be done when the product of number of testers*number of tests each performs on a processor grows as O(log N) as N to infinity . The method thus preserves the topological flexibility of the previous method, while allowing the number of tests each tester must perform to be tailored to the requirements of the topology.<>
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