• DocumentCode
    1862203
  • Title

    A novel computer network traffic modeling based on threshold-optimization

  • Author

    Jian Shi ; Shaoping Wang ; Kang Wang ; Delaurentis, Daniel

  • Author_Institution
    Beihang University School of Automation Science and Electrical Engineering, China
  • fYear
    2012
  • fDate
    3-5 March 2012
  • Firstpage
    209
  • Lastpage
    215
  • Abstract
    Aiming at bottlenecks (such as ambiguous physical meaning, complex mathematical expression, and so on) in traditional network traffic modeling analysis, this paper puts forward a novel threshold-optimization-based traffic model.In this model, the actual network traffic is divided into two different parts (i.e., a-traffic with burst characteristic, and b-traffic with steady characteristic) according to optimized threshold results obtained with particle swarm optimization algorithm. The a-traffic and b-traffic are respectively described with mathematical formulas which not only can depict the traffic nature precisely but also can be resolved easily. It is proved that the threshold-optimization-based traffic model presented in this paper can describe the traffic nature more accurately.
  • Keywords
    Particle Swarm Optimization (PSO); computer network; threshold-optimization; traffic modeling;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
  • Conference_Location
    Xiamen
  • Electronic_ISBN
    978-1-84919-537-9
  • Type

    conf

  • DOI
    10.1049/cp.2012.0956
  • Filename
    6492563