• DocumentCode
    2787628
  • Title

    On the exponential assumption for the time-to-repair in optical network availability analysis

  • Author

    Lourenço, Rafael B R ; Mello, Darli A A

  • Author_Institution
    OCNLab, Univ. of Brasilia, Brasilia, Brazil
  • fYear
    2012
  • fDate
    2-5 July 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The time-to-repair of network elements is usually modelled as an exponential random variable, as is the time-to-failure. This allows the use of Markov chains to perform availability analysis of connections routed in the optical network. However, the times-to-repair may be better described as Weibull distributed random variables, thus preventing the use of Markov chains. This paper investigates the impact of the time-to-repair distribution on the interval availability of a connection in an optical network. The exponential and the Weibull assumptions are compared. By computer simulations, and considering the case study of a connection routed in an American network, we identify the cases where the Weibull and exponential assumptions yield similar or distinct results.
  • Keywords
    Markov processes; Weibull distribution; optical fibre networks; telecommunication network routing; American network; Markov chains; Weibull distributed random variables; connection routing; exponential random variable; network elements; optical network availability analysis; time-to-failure; time-to-repair; Availability; Exponential distribution; Histograms; Maintenance engineering; Markov processes; Optical fiber networks; Weibull distribution; Weibull distribution; availability analysis; exponential distribution; time-to-failure; time-to-repair;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transparent Optical Networks (ICTON), 2012 14th International Conference on
  • Conference_Location
    Coventry
  • ISSN
    2161-2056
  • Print_ISBN
    978-1-4673-2228-7
  • Electronic_ISBN
    2161-2056
  • Type

    conf

  • DOI
    10.1109/ICTON.2012.6253743
  • Filename
    6253743