• DocumentCode
    813698
  • Title

    A Local Diagnosability Measure for Multiprocessor Systems

  • Author

    Hsu, Guo-Huang ; Tan, Jimmy J M

  • Author_Institution
    Nat. Chiao Tung Univ., Hsinchu
  • Volume
    18
  • Issue
    5
  • fYear
    2007
  • fDate
    5/1/2007 12:00:00 AM
  • Firstpage
    598
  • Lastpage
    607
  • Abstract
    The problem of fault diagnosis has been discussed widely and the diagnosability of many well-known networks has been explored. Under the PMC model, we introduce a new measure of diagnosability, called local diagnosability, and derive some structures for determining whether a vertex of a system is locally t-diagnosable. For a hypercube, we prove that the local diagnosability of each vertex is equal to its degree under the PMC model. Then, we propose a concept for system diagnosis, called the strong local diagnosability property. A system G(V, E) is said to have a strong local diagnosability property if the local diagnosability of each vertex is equal to its degree. We show that an n-dimensional hypercube Qn has this strong property, nges3. Next, we study the local diagnosability of a faulty hypercube. We prove that Qn keeps this strong property even if it has up to n-2 faulty edges. Assuming that each vertex of a faulty hypercube Qn is incident with at least two fault-free edges, we prove Qn keeps this strong property even if it has up to 3(n-2)-1 faulty edges. Furthermore, we prove that Qn keeps this strong property no matter how many edges are faulty, provided that each vertex of a faulty hypercube Qn is incident with at least three fault-free edges. Our bounds on the number of faulty edges are all tight
  • Keywords
    fault diagnosis; fault tolerant computing; graph theory; hypercube networks; multiprocessing systems; network topology; PMC model; fault diagnosis problem; fault-free edges; faulty edges; faulty hypercube; local diagnosability measure; multiprocessor systems; Fault diagnosis; Helium; Hypercubes; Multiprocessing systems; Sufficient conditions; Time measurement; Topology; PMC model; local diagnosability; strong local diagnosability property.;
  • fLanguage
    English
  • Journal_Title
    Parallel and Distributed Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9219
  • Type

    jour

  • DOI
    10.1109/TPDS.2007.1022
  • Filename
    4160929