• DocumentCode
    708525
  • Title

    Optimal availability improvement for digital switching systems

  • Author

    Ruiying Li ; Wei Xie

  • fYear
    2015
  • fDate
    26-29 Jan. 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The demand of optimal availability improvement for digital switching system emerges as the communication technology develops rapidly. Due to its networked structure and multiple down states, the availability is calculated based on network reliability algebraic methods and Markov model. An optimal availability improvement model is proposed which aims at finding the optimal availability-related parameters of components that minimizing the cost subject to the constraints of system availability goal and parameter bounds caused by technological limitations. To solve the high-dimensional nonlinear programming problem, both generalized reduced gradient method and genetic algorithm are applied. Finally, a signaling system number 7 (SS7) is used to verify the effectiveness of our optimization model and algorithms.
  • Keywords
    Markov processes; genetic algorithms; gradient methods; nonlinear programming; telecommunication network reliability; telecommunication signalling; telecommunication switching; Markov model; SS7; communication technology; digital switching systems; generalized reduced gradient method; genetic algorithm; high-dimensional nonlinear programming problem; network reliability algebraic methods; optimal availability improvement model; optimal availability-related parameters; signaling system number 7; Availability; Genetic algorithms; Maintenance engineering; Markov processes; Optimization; Switching systems; Availability; Markov method; Networked systems; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium (RAMS), 2015 Annual
  • Conference_Location
    Palm Harbor, FL
  • Print_ISBN
    978-1-4799-6702-5
  • Type

    conf

  • DOI
    10.1109/RAMS.2015.7105074
  • Filename
    7105074