• DocumentCode
    722631
  • Title

    NetTomo: A tomographic approach towards network diagnosis

  • Author

    Ramanan, Paritosh ; Kamath, Goutham ; Wen-Zhan Song

  • Author_Institution
    Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA
  • fYear
    2015
  • fDate
    14-17 June 2015
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Network diagnosis is a vital aspect in ensuring an efficient and robust functioning of any kind of mesh network. In this paper we present a network diagnosis method which determines the delay map of a mesh network using only end-to-end delay measurements without having the knowledge of the path taken. We model the problem of network diagnosis as an inverse problem and using a concept of ray tracing, solve for the delay in the network. With the help of simulations we show that our algorithm is able to detect nodes in the network based on their delays with reasonable accuracy using only O(n) probes for obtaining measurements. We further demonstrate a real world application of our algorithm in the domain of internet backbone networks by using data pertaining to a major US based network provider.
  • Keywords
    Internet; computer network reliability; inverse problems; ray tracing; synchronisation; telecommunication equipment testing; Internet backbone networks; NetTomo; US based network provider; delay map; end-to-end delay measurements; inverse problem; mesh network; network diagnosis method; ray tracing; Artificial neural networks; Computed tomography; Mathematical model; Peer-to-peer computing; Robustness; Throughput; Inverse Problem; Linear Algebra; Mesh Networks; Network Diagnosis; Network Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2015 IEEE 16th International Symposium on a
  • Conference_Location
    Boston, MA
  • Type

    conf

  • DOI
    10.1109/WoWMoM.2015.7158156
  • Filename
    7158156