• DocumentCode
    568098
  • Title

    Using complex network theory in the Internet engineering

  • Author

    Yong, Sun ; Xiangming, Wen ; Zhenmin, Zhao ; Yuan, Li

  • Author_Institution
    Beijing Key Lab. of Network Syst. Archit. & Convergence, Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • fDate
    14-17 July 2012
  • Firstpage
    390
  • Lastpage
    394
  • Abstract
    In the next generation network engineering research, network simulation and modelling is very important. The ongoing GNEI, FP7 plan and so on, needs to experiment and simulate the future network. Premise is that the model of network is correct. If the topology model of network is not consistent with the actual network, the conclusion is not correct. Internet network has some characteristics as Hierarchy, Power law distribution, Rich-club property, Disassortative, Self-similarity, Robust yet fragile and others. The complex network theory is a mathematical method to reveal the network scale features. Through the method to establish the network topology will have more match framework with the actual network. This paper analyzed the Waxman model and the BA model based on the distribution of power law. Simulation result shows that the scale-free network has more realistic characteristics of the Internet.
  • Keywords
    Internet; complex networks; telecommunication network topology; Internet engineering; complex network theory; disassortative property; mathematical method; network scale features; network simulation; next generation network engineering research; power law distribution; rich club property; scale-free network; self-similarity; topology model; Analytical models; Barium; Complex networks; Internet; Joining processes; Topology; Internet topology model; complex network theory; power-law; scale-free;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2012 7th International Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4673-0241-8
  • Type

    conf

  • DOI
    10.1109/ICCSE.2012.6295099
  • Filename
    6295099