• DocumentCode
    3337947
  • Title

    Detecting failed processes using fault signatures

  • Author

    Avritzer, Alberto ; Weyuker, Elaine J.

  • Author_Institution
    AT&T Network Comput. Services, Red Hill, NJ, USA
  • fYear
    1996
  • fDate
    4-6 Sep 1996
  • Firstpage
    302
  • Lastpage
    311
  • Abstract
    A strategy is presented for automatically identifying processes that have failed. A determination is made of the types of data that need to be collected, and circumstances under which the approach is likely to be useful. The strategy is applied to generate signatures for three different types of workloads, and several different resources. A typical failure is injected into the process, and the associated signatures are presented for the same workloads and resources. A measure as defined that is used to determine whether or not a signature is likely to be indicative of a faulty process
  • Keywords
    software fault tolerance; failed processes detection; fault signatures; software fault tolerance; workloads; Application software; Computer networks; Costs; Degradation; Fault detection; Heart beat; Lakes; Monitoring; Signal processing; Software measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Performance and Dependability Symposium, 1996., Proceedings of IEEE International
  • Conference_Location
    Urbana-Champaign, IL
  • ISSN
    1087-2191
  • Print_ISBN
    0-8186-7484-9
  • Type

    conf

  • DOI
    10.1109/IPDS.1996.540231
  • Filename
    540231