• DocumentCode
    3318558
  • Title

    An distributed multi-domain oriented fault diagnosis algorithm

  • Author

    Chu, L.W. ; Zou, S.H. ; Cheng, S.D. ; Wang, W.D. ; Tian, C.Q.

  • Author_Institution
    State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2009
  • fDate
    8-11 Aug. 2009
  • Firstpage
    378
  • Lastpage
    382
  • Abstract
    Today´s distributed systems often involve multiple administrative domains, each with a different organization and management policy. The centralized fault diagnosis techniques are not applicable to these systems. In this paper, we propose a distributed dependency model for building the dependencies in these systems. Based on the dependency model, two algorithms are proposed, DDA (distributed diagnosis algorithm) and ADDA (advanced distributed diagnosis algorithm). ADDA improves DDA from three aspects: less communication cost, more accurate effect evaluation function and spurious symptom probability. Simulation results show that ADDA is efficient in multi-domain environment.
  • Keywords
    distributed algorithms; fault diagnosis; probability; advanced distributed diagnosis algorithm; centralized fault diagnosis; distributed dependency model; distributed multidomain oriented fault diagnosis algorithm; management policy; multiple administrative domain; organization policy; probability; Computer science; Cost function; Fault diagnosis; Inference algorithms; Information management; Laboratories; Quality of service; Technology management; Telecommunication switching; Web and internet services; distributed dependency model; distributed diagnosis; fault diagnosis; fault management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4519-6
  • Electronic_ISBN
    978-1-4244-4520-2
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2009.5234926
  • Filename
    5234926