• DocumentCode
    2298769
  • Title

    Analytical models for reliability estimation of distributed telecommunication networks

  • Author

    Kalimulina, Elmira Yu

  • Author_Institution
    Inst. for Control Sci., Moscow, Russia
  • fYear
    2012
  • fDate
    29-31 Dec. 2012
  • Firstpage
    345
  • Lastpage
    348
  • Abstract
    To analyze and solve the estimation and optimization problem for distributed systems the explicit analytic expressions for the network reliability have to be found. The distributed network subsystems operate dependently in terms of reliability, the failure and recovery of one subsystem have an influence on the performance of another system. Therefore for distributed networks the assumption of independence of failures of subsystems is not always true. For such systems it is necessary to construct a logical model of reliability, to determine all the possible states and transition subsystems from one state to another (to construct a state graph) and then find an expression for the stationary availability factor. In addition, the distribution function of the time to failure and the recovery time of technical devices of networks, in most cases differ from the exponential law. This paper is devoted to constructing mathematical models of reliability with dependent failures and arbitrary distributed recovery time.
  • Keywords
    estimation theory; failure analysis; telecommunication network reliability; arbitrary distributed recovery time; distributed network subsystems; distributed telecommunication networks; distribution function; exponential law; failure analysis; mathematical models; network reliability; reliability estimation analytical models; stationary availability factor; transition subsystems; dependent failures; reliability; semi-markov models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4673-2963-7
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2012.6525952
  • Filename
    6525952