Advertisement

A multiple paradigm diagnostic system for wide area communication networks

  • B. Pagurek
  • N. Dawes
  • R. Kaye
Neural Networks
Part of the Lecture Notes in Computer Science book series (LNCS, volume 604)

Abstract

In modern large heterogeneous wide area enterprise networks, fault mamagement requires a great deal of intelligence. This is because of the large amount of monitoring information usually available, and because of the presence of uncertain and missing messages. This paper describes a knowledge-based system that employs multiple diagnostic paradigms in parallel to achieve high accuracy in automated diagnosis. The results achieved in exhaustive testing on a large world scale network are presented.

Keywords

diagnosis network fault management 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    M. Feridun: Diagnosis of Connectivity Problems in the Internet Proceedings of the Second International Symposium on Integrated Network Management, Washington D.C. April 1991. pp 691–701, North Holland PublishersGoogle Scholar
  2. 2.
    B. Lippolt, H. Velthuijsen, E. Kwast: Evaluation of Applying Model-based Diagnosis to Telecommunication Networks. Proceedings of Avignon 91, The Eleventh International Conference on Expert Systems and their Applications, Avignon, June 1991Google Scholar
  3. 3.
    L. Erman, F. Hayes-Roth, F. Lesser, D. Reddy: The HEARSAY II Speach Understanding System. Computing Surveys 12(2):213–253,1980CrossRefGoogle Scholar
  4. 4.
    N.W. Dawes, J. Altoft, B. Pagurek: Effective network diagnosis by reasoning in uncertain nested evidence spaces. To appear in Proceedings of Avignon 92, June 1992.Google Scholar
  5. 5.
    J. Altoft, N.W. Dawes: RUNES: Dempster-Shafer Reasoning in uncertain nested evidence spaces. Carleton University Technical Report SCE 91-09Google Scholar
  6. 6.
    R.A. Maxion: Anomaly Detection for Diagnosis. 20th IEEE International Conference on Fault Tolerant Computing, pp 20–27, 1990Google Scholar
  7. 7.
    R. Bianchini, K. Goodwin, D. Nydick: Practical Application and Implementation of Distributed System-Level Diagnosis THeory. Proceedings of the 20th Symposium on Fault Tolerant Computing, pp 332–339, June 1990Google Scholar
  8. 8.
    I. Rahali, D. Gaitl: A multi-agent system for network management Integrated Network Management II, Proceedings of the 2nd International Conference on Integrated Network Management North-Holland 1991, pp 469–479.Google Scholar
  9. 9.
    M. Frontini, J. Griffin, S. Towers: A knowledge-based system for fault localisation in wide area networks. Proceedings of the 2nd International Conference on Integrated Network Management, North-Holland 1991, pp 519–530.Google Scholar
  10. 10.
    P. Hong, P. Sen: Incorporating non-deterministic reasoning in managing heterogeneous network faults. Proceedings of the 2nd International Conference on Integrated Network Management North-Holland 1991, pp 481–492.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • B. Pagurek
    • 1
  • N. Dawes
    • 1
  • R. Kaye
    • 1
  1. 1.Dept. of Systems and Computer EngineeringCarleton UniversityOttawaCanada

Personalised recommendations