• DocumentCode
    2692987
  • Title

    On topology construction in layered P2P live streaming networks

  • Author

    Runzhi Li ; Qishi Wu ; Yunyue Lin ; Xukang Lu ; Zongmin Wang

  • Author_Institution
    Coll. of Info Eng., Zhengzhou Univ., Zhengzhou, China
  • fYear
    2010
  • fDate
    19-23 April 2010
  • Firstpage
    599
  • Lastpage
    606
  • Abstract
    Peer-to-peer (P2P) overlay networks provide a highly effective and scalable solution to live media streaming systems that require the collective use of massively distributed network resources. A P2P media streaming architecture is typically built completely or partially upon a tree-structured network topology and the process of tree construction has a significant impact on the overall system performance. We build network cost models and formulate a specific type of topology construction problem, Maximum Average Bandwidth Spanning Tree (MABST), which aims at optimizing the system´s average stream rate. We prove that MABST is NP-complete by reducing from Hamiltonian Path problem and propose an efficient heuristic algorithm. The performance superiority of the proposed algorithm is justified by experimental results using a live media streaming system deployed in real networks and is also illustrated by an extensive set of simulations on simulated networks of various sizes in comparison with other methods based on a degree constraint or a greedy strategy.
  • Keywords
    computational complexity; media streaming; peer-to-peer computing; telecommunication network topology; Hamiltonian Path problem; MABST; NP-complete; P2P media streaming; greedy strategy; layered P2P live streaming networks; maximum average bandwidth spanning tree; peer-to-peer overlay networks; topology construction; Bandwidth; Buffer storage; Delay; Jitter; Measurement; Network topology; Quality of service; Streaming media; System performance; Tree data structures; NP-complete; P2P; spanning tree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (NOMS), 2010 IEEE
  • Conference_Location
    Osaka
  • ISSN
    1542-1201
  • Print_ISBN
    978-1-4244-5366-5
  • Electronic_ISBN
    1542-1201
  • Type

    conf

  • DOI
    10.1109/NOMS.2010.5488439
  • Filename
    5488439