• DocumentCode
    1536184
  • Title

    Diagnosis of parallel computers arbitrary connectivity

  • Author

    Tang, Qian-Yu ; Song, Xiaoyu

  • Author_Institution
    Dept. d´´IRO, Montreal Univ., Que., Canada
  • Volume
    48
  • Issue
    7
  • fYear
    1999
  • fDate
    7/1/1999 12:00:00 AM
  • Firstpage
    757
  • Lastpage
    761
  • Abstract
    Recently, D. Fussell and S. Rangarajan (1989) considered performing multiple tests to achieve correct diagnosis of constant degree connection structures. They showed that the probability of correctly identifying every processor approaches one as n→∞, where n is the number of processors in the system. In this paper, we give the performance analysis for the probabilistic diagnosis algorithm defined previously. In comparison with previous results, we first derive a different and formal proof for the analytic expression of the probability processor is correctly identified. We then show an exact analytic expression for the probability of the event that a faulty processor is correctly identified. Our result improves the previous results. Based on our new results, we finally give the asymptotic analysis for the algorithm. We demonstrate that the probability of correctly identifying every processor approaches one as n→∞
  • Keywords
    fault tolerant computing; parallel processing; performance evaluation; constant degree connection structures; formal proof; parallel computers arbitrary connectivity; performance analysis; probabilistic diagnosis algorithm; Algorithm design and analysis; Concurrent computing; Fault diagnosis; H infinity control; Multiprocessing systems; Performance analysis; Performance evaluation; Testing; Upper bound;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/12.780885
  • Filename
    780885