Probabilistic Fault Diagnosis and its Analysis in Multicomputer Systems

Manabu KOBAYASHI  Toshiyasu MATSUSHIMA  Shigeichi HIRASAWA  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E101-A   No.12   pp.2072-2081
Publication Date: 2018/12/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E101.A.2072
Type of Manuscript: Special Section PAPER (Special Section on Information Theory and Its Applications)
Category: Coding theory and techniques
multicomputer systems,  system-level fault diagnosis,  probabilistic fault diagnosis,  intermittent faults,  density evolution,  

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F.P. Preparata et al. have proposed a fault diagnosis model to find all faulty units in the multicomputer system by using outcomes which each unit tests some other units. In this paper, for probabilistic diagnosis models, we show an efficient diagnosis algorithm to obtain a posteriori probability that each of units is faulty given the test outcomes. Furthermore, we propose a method to analyze the diagnostic error probability of this algorithm.