• DocumentCode
    231311
  • Title

    SRLG failure localization using nested M-trails

  • Author

    Ali, Md Liakot ; Pin-Han Ho ; Tapolcai, Janos

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2014
  • fDate
    17-19 Nov. 2014
  • Firstpage
    69
  • Lastpage
    75
  • Abstract
    This paper introduces a novel technique called nested m-trail method in all-optical mesh networks for failure localization of any shared risk link group (SRLG) with up to d undirected links. The proposed method decomposes each network topology that is at least d-connected into virtual cycles and trails, in which sets of m-trails that traverse through a common monitoring node (MN) can be obtained. The nested m-trails are used in the monitoring burst (m-burst) framework, in which the MN can localize any SRLG failure by inspecting the optical bursts traversing through it. An integer linear program (ILP) and a heuristic are proposed for the network decomposition, which are further verified by numerical experiments. We show that the proposed method significantly reduces the required fault localization latency compared to the existing methods.
  • Keywords
    integer programming; linear programming; optical fibre networks; optical links; telecommunication network reliability; telecommunication network topology; ILP; MN; SRLG failure localization; fault localization latency reduction; heuristic program; integer linear program; m-burst framework; monitoring burst framework; monitoring node; nested m-trail method; optical burst traversing; optical mesh network; shared risk link group; Clocks; Fabrics; Manganese; Mesh networks; Monitoring; Optical fiber communication; Optical switches; SRLG; UFL; WL; disjoint paths; dual-link; fault localization latency; m-trail; monitoring delay; multi-link;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliable Networks Design and Modeling (RNDM), 2014 6th International Workshop on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4799-7039-1
  • Type

    conf

  • DOI
    10.1109/RNDM.2014.7014933
  • Filename
    7014933