• DocumentCode
    2247444
  • Title

    A novel PCE-based algorithm for P2MP inter-domain traffic engineering in optical networks

  • Author

    Wu, Koubo ; Zhang, Jie ; Zhao, Yongli ; Yu, Ziyan ; Gu, Wanyi ; Wang, Dajiang ; Cao, Xuping

  • Author_Institution
    State Key Lab. of Inf. Photonics & Opt. Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2011
  • fDate
    13-16 Nov. 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Point-to-Multipoint (P2MP) services in optical networks are more and more important for high-capacity applications. Steiner tree algorithms have been investigated to compute minimum-cost multicast tree. However, it is difficult to compute an optimal P2MP tree in multi-domain networks because of isolation of each domain. There are several algorithms based on Path Computation Element (PCE) for computing multi-domain Point-to-point path, but computing P2MP Traffic Engineering Label Switched Path (TE-LSP) in a multi-domain networks is still a challenge. In this paper, three PCE-based schemes for P2MP inter-domain LSP computation are compared in full splitting capability networks, and a novel Multi-Domain Minimum-cost Path Heuristic (MDMPH) algorithm is proposed. Simulation results proved that the MDMPH algorithm computes P2MP tree with less cost than the other three schemes.
  • Keywords
    multicast communication; optical fibre networks; telecommunication services; telecommunication switching; telecommunication traffic; P2MP interdomain traffic engineering; PCE-based algorithm; Steiner tree algorithms; minimum cost multicast tree; multidomain minimum-cost path heuristic algorithm; multidomain networks; optical networks; path computation element; point-to-multipoint service; splitting capability network; traffic engineering label switched path; Abstracts; MDMPH; P2MP; full splitting capability; inter-domain; multicast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Photonics Conference and Exhibition, 2011. ACP. Asia
  • Conference_Location
    Shanghai
  • ISSN
    2162-108X
  • Print_ISBN
    978-0-8194-8961-6
  • Type

    conf

  • DOI
    10.1117/12.904385
  • Filename
    6210835