• DocumentCode
    2605764
  • Title

    A Minimum Cost Active and Backup Path Algorithm with SRLG Constraints

  • Author

    Yongqiang Yang ; Huichao Mi ; Xiaowen Zhang

  • Author_Institution
    Coll. of Comput. & Inf. Eng., Henan Univ. of Econ. & Law, Zhengzhou, China
  • fYear
    2012
  • fDate
    21-23 April 2012
  • Firstpage
    211
  • Lastpage
    216
  • Abstract
    As more mission critical services are transported over high-speed networks, it is important to study the service quality and correlations among multiple link/node networks. In this paper, we propose a novel algorithm called Low Cost an S-Disjoint (LCSD) paths algorithm. The algorithm is based on a SRLG disjoint active and backup paths for network protection. The backup path can be used to avoid the risk sharing with active path. We conduct theoretical analysis and experiments. The results show that LCSD algorithm can be used to solve both trap problem and path-pair total-cost non-optimal problem under SRLG disjoint constraint. Compared with RF and TF algorithms, the LCSD algorithm is of significant superiority in a ratio to find feasible solution. It can guarantee minimum total cost of active and backup path.
  • Keywords
    telecommunication network routing; SRLG constraints; backup path algorithm; high-speed networks; low cost an S-disjoint path algorithm; minimum cost active algorithm; mission critical services; network protection; path-pair total-cost nonoptimal problem; service quality; trap problem; Algorithm design and analysis; Correlation; Network topology; Optimization; Radio frequency; Routing; Topology; Low cost S disjoint paths algorithm; SRLG constraint; active and backup path; minimal total cost; routing algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Computing for Science and Engineering (ICICSE), 2012 Sixth International Conference on
  • Conference_Location
    Henan
  • Print_ISBN
    978-1-4673-1683-5
  • Type

    conf

  • DOI
    10.1109/ICICSE.2012.29
  • Filename
    6239751