• DocumentCode
    2309664
  • Title

    A novel approach for simulating peer-to-peer based ALM using ns2

  • Author

    Dong Renfei ; Zou Kaiqi

  • Author_Institution
    Univ. Key Lab. of Inf. Sci. & Eng., Dalian Univ., Dalian
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    1073
  • Lastpage
    1078
  • Abstract
    In this paper, we proposed a novel approach for simulating peer-to-peer (P2P) based application layer multicast (ALM) using ns2. This study also can be used in other simulations of P2P application. Simulation environments and approaches for evaluating and investigating overlay network or P2P application are very important. Better simulation result can accelerate research and deployment of new overlay network and application in P2P. Researchers can compare their works with other peoplepsilas research and find a way to improve it easily. We construct a simulation environment via extending ns2 for accomplishing above mentioned objects, through the modifying of application agent we built and generating of network topology using gt-itm embedded in ns2, metrics and processes in P2P overlay network such as delay, control overhead, node join, leave, failure and fault recovery, can be simulated easily and enough statistical data gathered. Finally, we simulated our recent work through this novel approach.
  • Keywords
    delays; fault diagnosis; multicast communication; peer-to-peer computing; statistical analysis; telecommunication network topology; Ns2; P2P overlay network; application agent; application layer multicast; control overhead; delay; fault recovery; network topology; peer-to-peer based ALM; simulation environment; statistical data; Peer to peer computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-3616-3
  • Electronic_ISBN
    978-1-4244-2511-2
  • Type

    conf

  • DOI
    10.1109/ITME.2008.4744035
  • Filename
    4744035