Conditional diagnosability of arrangement graphs under the PMC model

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Abstract

Processor fault diagnosis has played an important role in measuring the reliability of a multiprocessor system, and the diagnosabilities of many well-known multiprocessor systems have been investigated. The conditional diagnosability has been widely accepted as a measure of diagnosability by assuming an additional condition that any fault-set can't contain all the neighbors of any node in a multiprocessor system. This paper considers the conditional diagnosability of an (n, k)-arrangement graph An,k, a flexible interconnection network model for multiprocessor systems, under the classical PMC diagnostic model, and determines that the conditional diagnosability of An,k (k≥2, n≥k+2) is (4k-4)(n-k)-3, which is about four times its traditional diagnosability.

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Lin, L., Zhou, S., Xu, L., & Wang, D. (2014). Conditional diagnosability of arrangement graphs under the PMC model. Theoretical Computer Science, 548(C), 79–97. https://doi.org/10.1016/j.tcs.2014.06.041

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