• DocumentCode
    717076
  • Title

    vNMF: Distributed fault detection using clustering approach for network function virtualization

  • Author

    Miyazawa, Masanori ; Hayashi, Michiaki ; Stadler, Rolf

  • Author_Institution
    KDDI R&D Labs. Inc., Saitama, Japan
  • fYear
    2015
  • fDate
    11-15 May 2015
  • Firstpage
    640
  • Lastpage
    645
  • Abstract
    Network function virtualization introduces additional complexity for network management through the use of virtualization environments. The amount of managed data and the operational complexity increases, which makes service assurance and failure recovery harder to realize. In response to this challenge, the paper proposes a distributed management function, called virtualized network management function (vNMF), to detect failures related to virtualized services. vNMF detects the failures by monitoring physical-layer statistics that are processed with a self-organizing map algorithm. Experimental results show that memory leaks and network congestion failures can be successfully detected and that and the accuracy of failure detection can be significantly improved compared to common k-means clustering.
  • Keywords
    distributed processing; fault diagnosis; pattern clustering; self-organising feature maps; statistical analysis; virtualisation; clustering approach; distributed fault detection; network function virtualization; physical-layer statistics monitoring; self-organizing map algorithm; vNMF; virtualized network management function; Clustering algorithms; Fault detection; Hardware; Measurement; Monitoring; Servers; Virtualization; Fault detection; in-network management; network function virtualization self-organizing map;
  • 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.2015.7140349
  • Filename
    7140349