Efficient Fault Identification of Diagnosable Systems under the Comparison Model
Xiaofan Yang, Yuan Yan Tang · IEEE Transactions on Computers · 2007
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.