• DocumentCode
    2780528
  • Title

    DEAPFI: A distributed extensible architecture for P2P flows identification

  • Author

    Xu, Bo ; Chen, Ming ; Hu, Chao

  • Author_Institution
    Inst. of Command Autom., PLA Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2009
  • fDate
    6-8 Nov. 2009
  • Firstpage
    59
  • Lastpage
    64
  • Abstract
    Identification of various P2P flows accurately is fundamental for network management. To obtain P2P flow information in real-time and low price, a distributed extensible architecture for P2P flows identification called DEAPFI is proposed. DEAPFI decentralizes functions of flow identification and statistic on different PC, which is composed of identification system (IS) and statistic system (SS) respectively. IS integrates many independent P2P flow identification techniques and arranges their running order following optimizing sequence. By utilizing the identification results of IS, SS can extract P2P flow information from NetFlow records generated by NetFlow enabled equipment, which effectively reduces the requirement of PC´s operation ability. The experiment results of the prototype system verified DEAPFI can reduce the disposal burden of IS and SS, and provide a feasible scheme for online identifying P2P flow information in high speed network.
  • Keywords
    computer network management; peer-to-peer computing; statistical analysis; NetFlow enabled equipment; P2P flows identification; distributed extensible architecture; flow identification system; high speed network; prototype system; statistic system; Communication system traffic control; Costs; Data mining; Energy management; Engineering management; IP networks; Information analysis; Internet; Payloads; Statistical distributions; NetFlow; P2P; architecture; distributed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Infrastructure and Digital Content, 2009. IC-NIDC 2009. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4898-2
  • Electronic_ISBN
    978-1-4244-4900-6
  • Type

    conf

  • DOI
    10.1109/ICNIDC.2009.5360799
  • Filename
    5360799