• DocumentCode
    3525732
  • Title

    User behavior modeling in peer-to-peer file sharing networks: Dissecting download and removal actions

  • Author

    Feng, Qinyuan ; Wu, Yu ; Sun, Yan ; Jiang, Jing ; Dai, Yafei

  • Author_Institution
    CNDS Lab., Peking Univ., Beijing
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    3477
  • Lastpage
    3480
  • Abstract
    User behavior models are important for building realistic simulation environment for research on P2P multimedia file-sharing systems. In this paper, we build a user download behavior model and a user removal behavior model, which can describe important user characteristics that are not captured in the existing models. The proposed download behavior model incorporates retry behavior, and the removal behavior model integrates free-riding, file usage, and file removal. Based on two-year real user logs, we derive the range of all the model parameters and generate many interesting observations. To validate the proposed models, we compare several models in a case study on the number of living replicas in P2P file-sharing systems. The results demonstrate the accuracy, usability, and advantage of the proposed models.
  • Keywords
    multimedia computing; peer-to-peer computing; P2P multimedia file-sharing systems; download action; file removal; file usage; free-riding; peer-to-peer file sharing networks; removal actions; retry behavior; user download behavior model; user removal behavior model; Delay effects; Human factors; Intelligent networks; Multimedia systems; Peer to peer computing; Sun; System testing; Telecommunication traffic; Traffic control; Usability; Modeling; Multimedia systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960374
  • Filename
    4960374