• DocumentCode
    1734608
  • Title

    Intelligent fault management for large networks

  • Author

    Sreedhar, Rajiv ; Hill, Timothy D. ; Stanley, Gregory M.

  • Author_Institution
    Gensym Corp., Houston, TX, USA
  • fYear
    2000
  • fDate
    6/22/1905 12:00:00 AM
  • Firstpage
    959
  • Lastpage
    960
  • Abstract
    Enterprise computer networks are rapidly increasing in size and complexity. A typical enterprise network consists of numerous hardware architectures, communication protocols, and user interface technologies. High availability and performance requirements place a high demand on the management of such networks. The need to increase efficiency often results in the decline in the ratio between the network operators and the network elements being managed, resulting in a loss of network availability and service. In such scenarios it is essential to integrate an expert system into the network management architecture to transform network events into value-added information enabling the network operators to efficiently manage the network. In this paper we present details of an intelligent network management system which is successfully being used to manage a large Internet service provider network
  • Keywords
    Internet; business communication; computer network management; expert systems; intelligent networks; telecommunication network reliability; telecommunication services; Internet service provider; enterprise computer networks; expert system; intelligent fault management; large networks; network availability; network elements; network management architecture; network operators; value-added information; Automation; Availability; Computer network management; Diagnostic expert systems; Expert systems; Filtering; Intelligent networks; Search engines; User interfaces; Web and internet services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium, 2000. NOMS 2000. 2000 IEEE/IFIP
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-5928-3
  • Type

    conf

  • DOI
    10.1109/NOMS.2000.830456
  • Filename
    830456