• DocumentCode
    3548469
  • Title

    Probabilistic diagnosis algorithms tailored to system topology

  • Author

    Rangarajan, S. ; Fussell, D.

  • Author_Institution
    Maryland Univ., College Park, MD, USA
  • fYear
    1991
  • fDate
    25-27 June 1991
  • Firstpage
    230
  • Lastpage
    237
  • Abstract
    The authors previously (1989) presented algorithms in which if at least two processors perform tests on any given processor, the probability of correct diagnosis approaches one as N to infinity if the number of tests performed by each tester on each processor under test is O(log N). The algorithm was based on a comparison approach to probabilistic system-level fault diagnosis in which processors may perform multiple tests on other processors. Here they present a new hierarchical testing algorithm for this model and show that asymptotically efficient testing can be done when the product of number of testers*number of tests each performs on a processor grows as O(log N) as N to infinity . The method thus preserves the topological flexibility of the previous method, while allowing the number of tests each tester must perform to be tailored to the requirements of the topology.<>
  • Keywords
    fault tolerant computing; parallel algorithms; probabilistic logic; program verification; topology; asymptotically efficient testing; hierarchical testing algorithm; probabilistic diagnosis algorithms; system topology; Concurrent computing; Educational institutions; Fault diagnosis; Hypercubes; Large-scale systems; Multiprocessing systems; Performance evaluation; System testing; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fault-Tolerant Computing, 1991. FTCS-21. Digest of Papers., Twenty-First International Symposium
  • Conference_Location
    Montreal, Quebec, Canada
  • Print_ISBN
    0-8186-2150-8
  • Type

    conf

  • DOI
    10.1109/FTCS.1991.146666
  • Filename
    146666