(t, k)-diagnosis, which is a generalization of sequential diagnosis, requires at least k faulty processors identified and replaced in each iteration provided there are at most t faulty processors, where t /spl ges/k This paper proposes a (t,k) diagnosis algorithm for matching composition networks, which include many well-known interconnection networks such as hypercubes, crossed cubes, twisted cubes, and Mobius cubes. It is shown that matching composition networks of n dimensions are (/spl Omega/(2/sup n//spl middot/logn/n),n)-diagnosable, where n > 5.
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Chang et al. (2006) studied this question.
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