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Computing the (t,k)-Diagnosability of Component-Composition Graphs and Its Application

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6507))

Abstract

(t,k)-Diagnosis, which is a generalization of sequential diagnosis, requires that at least k faulty processors should be identified and repaired in each iteration provided there are at most t faulty processors, where t ≥ k. Let κ(G) and n(G) be the node connectivity and the number of nodes in G, respectively. We show that the class of m-dimensional component-composition graphs G for m ≥ 4 is (Ω(h),κ(G))-diagnosable, where \(h=\frac{2^{m-2}\times \lg{(m-1)}}{m-1}\) if 2m − 1 ≤ n(G) < m!; and h = 2m − 2 if n(G) ≥ m!. Based on this result, the (t,k)-diagnosability of numerous multiprocessor systems can be computed efficiently.

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Hsieh, SY., Chen, CA. (2010). Computing the (t,k)-Diagnosability of Component-Composition Graphs and Its Application. In: Cheong, O., Chwa, KY., Park, K. (eds) Algorithms and Computation. ISAAC 2010. Lecture Notes in Computer Science, vol 6507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17514-5_31

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  • DOI: https://doi.org/10.1007/978-3-642-17514-5_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17513-8

  • Online ISBN: 978-3-642-17514-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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