• DocumentCode
    2480647
  • Title

    A Novel Network Traffic Model Based on Superstatistics Theory

  • Author

    Yang Yue ; Hu Hanping ; Xiong Wei ; Ding Fan

  • Author_Institution
    Inst. for Pattern Recognition & AI, Huazhong Univ of Sci & Tech, Wuhan, China
  • fYear
    2010
  • fDate
    22-23 May 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Mutual interactions of different network equipment, topology configurations, transmission protocols and cooperation and competition among the network users inevitably cause the network traffic flow which is controlled by several driving factors to appear non-stationary and complicated behavior. Because of its non-stationary property it can not easily use traditional way to analyze the complicated network traffic. A new method of non-stationary network traffic based on superstatistics theory is discussed in the paper. According to the superstatistics theory, the complex dynamic system may have a large fluctuation of intensive quantities on large time scales which cause the system to behave as non-stationary which is also the characteristic of network traffic.
  • Keywords
    protocols; statistics; telecommunication network topology; telecommunication traffic; complicated network traffic; network traffic flow; novel network traffic model; superstatistics theory; topology configurations; transmission protocols; Artificial intelligence; Communication system traffic control; Fluctuations; Geology; Intrusion detection; Pattern recognition; Predictive models; Statistics; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5872-1
  • Electronic_ISBN
    978-1-4244-5874-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2010.5473387
  • Filename
    5473387