(t,k)-diagnosis for component-composition graphs under the MM* model

Chun An Chen, Sun Yuan Hsieh

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)


(t, k)-Diagnosis, which is a generalization of sequential diagnosis, requires that at least t faulty processors be identified and replaced in each iteration provided there are at most t faulty processors, where t ≥ k. Let κ(G) and n(G) be, respectively, the node connectivity and the number of nodes in a graph G. In this paper, we compute the (t, k)-diagnosability for a class of component composition graphs under the comparison diagnosis model. We show that the m-dimensional component-composition graph G (m ≥ 4) is (Ω(h),κ(G))-diagnosable, where h= 2m-1 × (m -3) × lg(m-1) (m-1)/(m-1) 2 if 2m-2 ≤ n(G)<; m 2m-1 × (m-3)/m-1 if n(G) ≥ m!. Based on this result, the (t, k)-diagnosability of several multiprocessor systems, including hypercubes, crossed cubes, twisted cubes, locally twisted cubes, multiply twisted cubes, generalized twisted cubes, recursive circulants, Mobius cubes, Mcubes, star graphs, bubble-sort graphs, pancake graphs, and burnt pancake graphs, can be computed efficiently.

Original languageEnglish
Article number5601693
Pages (from-to)1704-1717
Number of pages14
JournalIEEE Transactions on Computers
Issue number12
Publication statusPublished - 2011

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computational Theory and Mathematics


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