• DocumentCode
    711889
  • Title

    Study on the Characteristics of Network Traffic Based on STFT

  • Author

    Liu Liang ; Jiang Han-hong ; Rui Wan-zhi ; Wang Jie

  • Author_Institution
    Nat. Key Lab. For VIPS Technol., Naval Univ. of Eng., Wuhan, China
  • fYear
    2015
  • fDate
    24-26 April 2015
  • Firstpage
    485
  • Lastpage
    488
  • Abstract
    Aiming at a practical industrial network control system, this paper makes an analysis of types of data, their traffic and directions under different working conditions, and a selection of a link of maximum traffic as a typical one. The method of passive measurement is used to obtain the packets of different protocols passing through the link. The traffic of the corresponding protocols can be calculated according to the size and arrival time of packets. It is found from the analysis of the characteristics of main protocols that the traffics of this control system are of relatively smooth periodicity as well as abruptness, but not of obvious self-similarity or long-range dependence, which are theoretical verified. Hence, the traffic is considered a periodically abrupt process approximately on a large time scale, but not suitable for a long-range dependent or self-similar model.
  • Keywords
    Fourier transforms; local area networks; protocols; telecommunication links; telecommunication traffic; STFT; arrival time; industrial Ethernet; industrial network control system; link; packet size; passive measurement method; protocols; short-time Fourier transformation method; working conditions; Control systems; Monitoring; Protocols; Servers; Telecommunication traffic; Time-domain analysis; Time-frequency analysis; Industrial Ethernet; Long-Range Dependence; STFT; Self-Similarity; Traffic Modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-6849-0
  • Type

    conf

  • DOI
    10.1109/ICISCE.2015.112
  • Filename
    7120652