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Diagnosis-by-comparison is a realistic approach to the fault diagnosis of massive multicomputers. This paper addresses the fault identification of diagnosable multicomputer systems under the MM* comparison model. We find that the fault location task can be reduced to that under the classical PMC* model. On this basis, we present an Ο(n?Δ3?δ) time diagnosis algorithm for an n-node MM* diagnosable system, where Δ and δ denote the maximum and minimum degrees of a node, respectively. The proposed algorithm is much more effi-cient than the fastest known diagnosis algorithm (which consumes Ο(n5) time) because realistic massive multi-computers are sparsely interconnected and hence Δ, δ « n.
Multicomputer, system-level diagnosis, comparison model, PMC model, diagnosable system, diagnosis algorithm
Yuan Yan Tang, Xiaofan Yang, "Efficient Fault Identification of Diagnosable Systems under the Comparison Model", IEEE Transactions on Computers, vol. 56, no. , pp. 1612-1618, December 2007, doi:10.1109/TC.2007.70769
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