• DocumentCode
    491442
  • Title

    A Low Cost Fault Detection Mechanism Based on Cycle Cover Algorithm for Optical Burst Switching Networks

  • Author

    Wang, Nan ; Wang, Ru-yan ; Huang, Sheng

  • Author_Institution
    Key Lab. of Opt. Commun. Technol., Chongqing Univ. of Posts & Telecommun., Chongqing
  • Volume
    2
  • fYear
    2009
  • fDate
    6-8 Jan. 2009
  • Firstpage
    545
  • Lastpage
    549
  • Abstract
    The optical burst switching networks are one of the most potential implementation technology of next generation optical switching networks in nowadays. In this paper, after analysis on the characteristics of HST, SPEM, HDFS, we propose a new fault detection mechanism based on minimum-length probe cycle cover algorithm, then this cycle finding algorithm is used to find cycle cover for OBS networks. After that, a probe module is assigned for each cycle and a fast fault localization algorithm is developed, finally a fault detection mechanism based on probe cycle cover is formed. The computation and statistic results show that in this fault detection mechanism comparing minimum-length probe cycle cover algorithm to the existing algorithms, it has the least amount of network resources (measured by the number of cycles, cycles length, etc.) and higher fault localization degree.
  • Keywords
    fault location; optical burst switching; statistical analysis; HDFS; HST; SPEM; cycle finding algorithm; fault detection mechanism; fault localization algorithm; minimum-length probe cycle cover algorithm; optical burst switching networks; probe module; statistic results; Algorithm design and analysis; Computer networks; Costs; Fault detection; Length measurement; Next generation networking; Optical burst switching; Optical fiber networks; Probes; Statistics; fault detection; fault localization; minimum-length probe cycle cover algorithm; optical burst switching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Mobile Computing, 2009. CMC '09. WRI International Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-0-7695-3501-2
  • Type

    conf

  • DOI
    10.1109/CMC.2009.90
  • Filename
    4797183