• DocumentCode
    2937838
  • Title

    Network Topology Inference Based on Traceroute and Tomography

  • Author

    Hailiang, Liao ; Guangmin, Hu ; Feng, Qian ; Zhihao, Yang

  • Author_Institution
    Key Lab. of Broadband Opt. Fiber Transm., Commun. Networks UESTC of China, Chengdu
  • Volume
    2
  • fYear
    2009
  • fDate
    6-8 Jan. 2009
  • Firstpage
    486
  • Lastpage
    490
  • Abstract
    Network topology inference with "sandwich" probes is a new technology of network tomography. In traditional methods of network topology inference using traceroute, anonymous routers seriously affect the performance of topology inference. The methods of network topology inference based on tomography are mostly computational complexity and inaccurate. This paper introduces a network topology inference method combine the advantage of both traceroute and tomography. This method constructs an initialized topology using the traceroute result and then .obtains a final topology using "topology updating algorithm" with the "sandwich" probes. The simulation on NS2 shows that this method can not only solve the problem of anonymous router but also reduce the computational complexity, and improve the veracity as well.
  • Keywords
    computational complexity; telecommunication network routing; telecommunication network topology; NS2 simulation; anonymous router; computational complexity; network tomography; network topology inference; sandwich probes; topology updating algorithm; Binary trees; Clustering algorithms; Computational complexity; Inference algorithms; Mobile communication; Mobile computing; Network topology; Probes; Statistics; Tomography; anonymous router; clustering analysis; network tomography; recursion; sandwich probe; traceroute;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Mobile Computing, 2009. CMC '09. WRI International Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-0-7695-3501-2
  • Type

    conf

  • DOI
    10.1109/CMC.2009.214
  • Filename
    4797171