• DocumentCode
    3410785
  • Title

    Overlay optimization for Peer-to-Peer scalable video streaming

  • Author

    Lima, Luiz ; Dalai, Marco ; Migliorati, P. ; Leonardi, R.

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Brescia, Brescia, Italy
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    2245
  • Lastpage
    2248
  • Abstract
    Video streaming with Peer-to-Peer (P2P) architectures and Scalable Video Coding (SVC) appears to be an interesting solution for an efficient streaming in the heterogeneous scenario of Internet applications. A key issue in such approach is the optimization of the bandwidth capacity of the P2P system. In this paper we propose an innovative approach for the network overlay optimization based on Integer Linear Programming. The proposed approach is particularly suitable in case of push-based solutions for video streaming using SVC with prioritized content. The simulation results show the flexibility of the proposed model when used to generate an overlay following different constraints and operational requirements. The usability and the computational complexity of the proposed method is also analyzed when the overlay includes an high number of peers.
  • Keywords
    Internet; computational complexity; integer programming; linear programming; overlay networks; peer-to-peer computing; video coding; video streaming; Internet; P2P architecture; P2P system; SVC; bandwidth capacity; computational complexity; integer linear programming; network overlay optimization; peer-to-peer architecture; peer-to-peer scalable video streaming; push-based solution; scalable video coding; Bandwidth; Complexity theory; Optimization; Peer to peer computing; Streaming media; Throughput; Video coding; Overlay Optimization; P2P architectures; Scalable Video Coding; Video Streaming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6467342
  • Filename
    6467342