• DocumentCode
    3346089
  • Title

    FLoD: A Framework for Peer-to-Peer 3D Streaming

  • Author

    Shun-Yun Hu ; Ting-Hao Huang ; Shao-chen Chang ; Wei-Lun Sung ; Jehn-Ruey Jiang ; Bing-Yu Chen

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Jhongli
  • fYear
    2008
  • fDate
    13-18 April 2008
  • Abstract
    Interactive 3D content on Internet has yet become popular due to its typically large volume and the limited network bandwidth. Progressive content transmission, or 3D streaming, thus is necessary to enable real-time content interactions. However, the heavy data and processing requirements of 3D streaming challenge the scalability of client-server delivery methods. We propose the use of peer-to-peer (P2P) networks for 3D streaming, and argue that due to the non-linear access patterns of 3D content, P2P 3D streaming is a new class of applications apart from existing media streaming and requires new investigations. We also present FLoD, the first P2P 3D streaming framework that allows clients of 3D virtual globe or virtual environment (VE) applications to obtain relevant data from other clients while minimizing server resource usage. To demonstrate how FLoD applies to real-world scenarios, we build a prototype system that adapts JPEG 2000-based 3D mesh streaming for P2P delivery. Experiments show that server-side bandwidth usage can thus be reduced, while simulations indicate that P2P 3D streaming is fundamentally more scalable than client-server approaches.
  • Keywords
    client-server systems; media streaming; peer-to-peer computing; virtual reality; 3D media streaming; Internet; JPEG 2000; client-server delivery methods; nonlinear access pattern; peer-to-peer network; virtual environment application; Bandwidth; Communications Society; Computer science; Earth; Information management; Layout; Navigation; Peer to peer computing; Streaming media; Virtual environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM 2008. The 27th Conference on Computer Communications. IEEE
  • Conference_Location
    Phoenix, AZ
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4244-2025-4
  • Type

    conf

  • DOI
    10.1109/INFOCOM.2008.195
  • Filename
    4509790