• DocumentCode
    2961934
  • Title

    E-stream: Towards pattern centric network incident discovery and corrective action recommendation in telecommunication networks

  • Author

    Robitzsch, Sebastian ; Zaman, Faisal ; Zhiguo Qu ; Keeney, John ; van der Meer, Sven ; Muntean, Gabriel-Miro

  • Author_Institution
    Rince Inst., Dublin City Univ., Dublin, Ireland
  • fYear
    2015
  • fDate
    11-15 May 2015
  • Firstpage
    842
  • Lastpage
    845
  • Abstract
    With the technological evolution in telecommunication networks, performance requirements such as better coverage, higher bandwidth, and lower latency have been pushed to new horizons. However, as a direct result network complexity has increased dramatically over the recent years, and with this complexity manageability has suffered. This paper presents the architecture of the E-Stream project which aims to support Next Generation Operations Support Systems. E-Stream applies dimension reduction, data mining, and recommender system techniques in order to handle very high volumes of management events, identify and predict network incidents, and recommend candidate corrective actions to domain experts in Network Operations Centres.
  • Keywords
    Internet; data mining; next generation networks; recommender systems; complexity manageability; corrective action recommendation; data mining; dimension reduction; e-stream; network operations centres; next generation operations support systems; pattern centric network incident discovery; recommender system; telecommunication networks; Computer architecture; Data mining; Electronic countermeasures; Noise; Pattern matching; Real-time systems; Recommender systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/INM.2015.7140390
  • Filename
    7140390