• DocumentCode
    1369146
  • Title

    Intelligent agents for proactive fault detection

  • Author

    Hood, Cynithia S. ; Ji, Chuanyi

  • Author_Institution
    Illinois Inst. of Technol., Chicago, IL, USA
  • Volume
    2
  • Issue
    2
  • fYear
    1998
  • Firstpage
    65
  • Lastpage
    72
  • Abstract
    As the Internet becomes a critical component of our society, a key challenge is to maintain network availability and reliability. Intelligent processing agents that reside at network nodes use an adaptive learning method to detect abnormal network behavior before a fault actually occurs. In a test at Rensselaer Polytechnic Institute, an agent on a router detected a file server failure 12 minutes before it occurred
  • Keywords
    Internet; diagnostic expert systems; fault diagnosis; learning (artificial intelligence); software agents; telecommunication computing; Internet; abnormal network behavior detection; adaptive learning method; file server failure; intelligent agents; network availability; network nodes; network reliability; proactive fault detection; router; Bayesian methods; Fault detection; Fault diagnosis; Hardware; Humans; IP networks; Intelligent agent; Learning systems; Risk management; Technology management;
  • fLanguage
    English
  • Journal_Title
    Internet Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7801
  • Type

    jour

  • DOI
    10.1109/4236.670686
  • Filename
    670686
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1369146