• DocumentCode
    3211009
  • Title

    Recognition of catastrophic faults

  • Author

    Nayak, Amiya ; Pagli, Linda ; Santoro, Nicola

  • Author_Institution
    Center for Parallel & Distributed Comput., Sch. of Comput. Sci., Carleton Univ., Ottawa, Ont., Canada
  • fYear
    1992
  • fDate
    4-6 Nov 1992
  • Firstpage
    70
  • Lastpage
    79
  • Abstract
    For a given design, it is not difficult to identify a set of elements whose failure will have catastrophic consequence. There exist many patterns (random distribution) of faults, not in a block, which can be fatal for the system. Therefore, the characterization of such fault patterns is crucial for the identification, testing and detection of such catastrophic events. This paper, is concerned with the development of efficient recognition schemes; that is, efficient mechanisms which automatically determine whether or not an observed/detected pattern of faults will have catastrophic consequences. The problem of recognizing whether a fault pattern is catastrophic has been addressed
  • Keywords
    fault tolerant computing; reconfigurable architectures; system recovery; catastrophic faults; fault patterns; fault-tolerant computing; observed/detected pattern; random distribution; reconfiguration; Computer science; Distributed computing; Event detection; Fault detection; Fault diagnosis; Fault tolerance; Pattern recognition; Redundancy; Sufficient conditions; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Defect and Fault Tolerance in VLSI Systems, 1992. Proceedings., 1992 IEEE International Workshop on
  • Conference_Location
    Dallas, TX
  • ISSN
    1550-5774
  • Print_ISBN
    0-8186-2837-5
  • Type

    conf

  • DOI
    10.1109/DFTVS.1992.224370
  • Filename
    224370