• DocumentCode
    2961723
  • Title

    Fault diagnosis based on evidences screening in virtual network

  • Author

    Hao Wang ; Ying Wang ; Xuesong Qiu ; Wenjing Li ; Ailing Xiao

  • Author_Institution
    State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2015
  • fDate
    11-15 May 2015
  • Firstpage
    802
  • Lastpage
    805
  • Abstract
    Network virtualization has been regarded as a core attribute of Future Internet. To improve the quality of virtual network, it is important to diagnose the faulty components quickly and accurately. Recently more and more researches focus on end-user fault diagnosis, which can fit incomplete knowledge and dynamic challenges. In this paper, we present a fault diagnosis system called DiaEO in virtual network. It improves the present end-user fault diagnosis methods by screening evidences before analyzing to reduce the time-consuming. Besides that, DiaEO also improves the anti-noise ability of the system. The simulation results show that the proposed method can keep high accuracy and ameliorate time performance.
  • Keywords
    Internet; fault diagnosis; inference mechanisms; DiaEO; Internet; end-user fault diagnosis methods; evidence screening; network virtualization environment; Accuracy; Fault diagnosis; Monitoring; Network topology; Nickel; Noise measurement; Probes; Dempster-Shafer theory; Fault diagnosis; Virtual network;
  • 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.2015.7140380
  • Filename
    7140380