• DocumentCode
    564505
  • Title

    Evaluation of MPLS P2MP distribution tree algorithms

  • Author

    Matsumura, Ryutaro ; Tsujino, Masayuki ; Inoue, Masayuki ; Iwashita, Motoi

  • Author_Institution
    NTT Service Integration Laboratories, NTT Corporation, 9-11 Midori-Cho 3-Chome, Musashino-Shi, Tokyo 180-8585, Japan
  • Volume
    Supplement
  • fYear
    2008
  • fDate
    Sept. 28 2008-Oct. 2 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Multiprotocol Label Switching (MPLS) Point to Multipoint (P2MP) can be used as an underlying technology for transmitting video data. Reducing the transmission delay on a network is very important to maintain the quality of service for video transmission. Therefore, the hop count of the path between a source and a destination node should be reduced using MPLS P2MP routing technology. We considered the routing algorithm of MPLS P2MP from the aspects of the hop count and the sum of link lengths. We evaluated three algorithms on these aspects with simulations: the conventional shortest path tree (SPT), the minimum cost paths heuristic (MPH), and the constrained MPH (CMPH), which is MPH under hop constraint. We propose CMPH as an example of a dynamic Steiner tree algorithm with hop constraint. The simulations showed that CMPH is a well balanced algorithm satisfying the need for a small average hop count and small sum of link lengths at the same time. We also used the ratio of destination nodes within hop constraint as a scale for evaluation. In this scale, CMPH is the best algorithm among the three.
  • Keywords
    Approximation algorithms; Heuristic algorithms; Lattices; Measurement; Multiprotocol label switching; Routing; Steiner trees;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Network Strategy and Planning Symposium, 2008. Networks 2008. The 13th International
  • Conference_Location
    Budapest
  • Print_ISBN
    978-963-8111-68-5
  • Type

    conf

  • DOI
    10.1109/NETWKS.2008.6231343
  • Filename
    6231343