Determining the conditional diagnosability of k-ary n-cubes under the MM* model
SIROCCO'11 Proceedings of the 18th international conference on Structural information and communication complexity
Theoretical Computer Science
Conditional diagnosability of matching composition networks under the MM* model
Information Sciences: an International Journal
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The growing size of the multiprocessor systems increases their vulnerability to component failures. It is crucial to local and to replace the faulty processors to maintain system’s high reliability. The fault diagnosis is the process of identifying fault processors in a system through testing. The conditional diagnosis requires that for each processor v in a system, all the processors that are directly connected to v do not fail at the same time. In this paper, the conditional diagnosability of the Hypercubes Q_nunder the comparison diagnosis model is 3n-5when n6. Hence the conditionaldiagnosability ofQ_nis three times larger thanits classical diagnosability.