• DocumentCode
    2073125
  • Title

    A Topology Partition Algorithm Based on Link Coarsening in Parallel Network Simulation

  • Author

    Yang, Xianqing ; He, Hui ; Zhang, HongLi ; Zheng, Kexin ; Wang, Xing

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Harbin Inst. of Technol., Harbin, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    514
  • Lastpage
    518
  • Abstract
    Today´s networks are facing more and more serious large-scale network attack such as worm and botnet. While such attacks can´t and shouldn´t be reproduced in the real network, network simulation is become more and more popular during the research. As the prerequisite of network simulation, topology partition influences the performance of simulation significantly. We suggest a new topology partition algorithm in parallel network simulation. This algorithm is a kind of agglomerative hierarchical clustering methods based on link coarsening. The experiment shows that our algorithm can finish partition on current computers in acceptable time for even around millions of vertices. Furthermore, the links between different sub-domains are fewer and the connectivity in each sub-domain is also guaranteed. Compared with the results of KMETIS, the new algorithm can reduce the edgecut more than 90% in general.
  • Keywords
    grid computing; network topology; parallel algorithms; pattern clustering; agglomerative hierarchical clustering methods; grid computing; link coarsening; parallel network simulation; topology partition algorithm; Clustering algorithms; Computational modeling; Computer networks; Computer science; Computer simulation; Costs; IP networks; Large-scale systems; Network topology; Partitioning algorithms; link coarsening; network parallel simulation; topology partition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ISISE), 2009 Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-6325-1
  • Electronic_ISBN
    978-1-4244-6326-8
  • Type

    conf

  • DOI
    10.1109/ISISE.2009.104
  • Filename
    5447299