• DocumentCode
    1474071
  • Title

    Conditional ({t}, k)-Diagnosis under the PMC Model

  • Author

    Guey-Yun Chang

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Jhongli, Taiwan
  • Volume
    22
  • Issue
    11
  • fYear
    2011
  • Firstpage
    1797
  • Lastpage
    1803
  • Abstract
    In this paper, assuming that each vertex is neighboring to at least one fault-free vertex, we investigate the (t,k)-diagnosability of a graph G under the PMC model. Lower bounds on the numeric degrees of (t,k)-diagnosability are suggested when G is a general graph or G is a regular graph. In particular, the following results are obtained. Symmetric d-dimensional grids are ({N-mover 2d}, {min} {m, 2d-1} )-diagnosable, where dge 2, 1le mle 2d-1, and N are the number of vertices. Symmetric d-dimensional tori are ({N+0.62 N^{{2over 3} }-2over 4},1)-diagnosable if d=2, and ({N-mover 2d}, {min} {m, 4d-2} )-diagnosable if dge 3, where 1le mle 4d-2. Hypercubes are ({N-2log N+2over log N},2log N-2)-diagnosable. Cube-connected cycles are ({N-mover 3}, {min} {m, 4} )-diagnosable, where 1le m le 4; k-ary trees are ({N-1over k}, 1)-diagnosable.
  • Keywords
    fault trees; graph theory; multiprocessing systems; program diagnostics; PMC model; conditional t k diagnosis; cube connected cycles; fault free vertex; graph G theory; k-ary trees; numeric degrees; symmetric d-dimensional grids; Aggregates; Computational modeling; Hypercubes; Maintenance engineering; Sequential diagnosis; Testing; Wireless sensor networks; (t; Conditional fault; PMC model; fault-tolerance; k)-diagnosis.; multiprocessor system; sequential diagnosis; system-level diagnosis;
  • fLanguage
    English
  • Journal_Title
    Parallel and Distributed Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9219
  • Type

    jour

  • DOI
    10.1109/TPDS.2011.84
  • Filename
    5733340