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Probabilistic Fault Diagnosis of Clustered Faults for Multiprocessor Systems

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Abstract

With the development of high-performance computing and the expansion of large-scale multiprocessor systems, it is significant to study the reliability of systems. Probabilistic fault diagnosis is of practical value to the reliability analysis of multiprocessor systems. In this paper, we design a linear time diagnosis algorithm with the multiprocessor system whose threshold is set to 3, where the probability that any node is correctly diagnosed in the discrete state can be calculated. Furthermore, we give the probabilities that all nodes of a d-regular and d-connected graph can be correctly diagnosed in the continuous state under the Weibull fault distribution and the Chi-square fault distribution. We prove that they approach to 1, which implies that our diagnosis algorithm can correctly diagnose almost all nodes of the graph.

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Authors and Affiliations

  1. School of Computer Science and Technology, Soochow University, Suzhou, 215006, China

    Xue-Li Sun, Jian-Xi Fan, Bao-Lei Cheng, Yan Wang & Li Zhang

  2. Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou, 215006, China

    Xue-Li Sun & Jian-Xi Fan

Authors
  1. Xue-Li Sun
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  2. Jian-Xi Fan
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  3. Bao-Lei Cheng
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  4. Yan Wang
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  5. Li Zhang
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Correspondence to Jian-Xi Fan.

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Sun, XL., Fan, JX., Cheng, BL. et al. Probabilistic Fault Diagnosis of Clustered Faults for Multiprocessor Systems. J. Comput. Sci. Technol. 38, 821–833 (2023). https://doi.org/10.1007/s11390-021-1099-0

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