Efficient Fault Identification of Diagnosable Systems under the Comparison Model

  • Authors:
  • Xiaofan Yang;Yuan Yan Tang

  • Affiliations:
  • -;-

  • Venue:
  • IEEE Transactions on Computers
  • Year:
  • 2007

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Abstract

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脳Δ3脳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.