A Simulation Approach to Reliability Assessment of a Redundant System with Arbitrary Input Distributions

Hector G.K. Houankpo, D. V. Kozyrev, E. Nibasumba, M. N.B. Mouale, I. A. Sergeeva

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

1 Citation (Scopus)


With the rapid development and spread of computer networks and information technologies, researchers are faced with new complex challenges of both applied and theoretical nature in investigating the reliability and availability of communication networks and data transmission systems. In the current paper, we perform the system-level reliability analysis for a redundant system with arbitrary distributions of uptime and repair time of its elements using a simulation approach. Also, we obtained the values of the relative recovery speed at which the desired level of reliability is achieved, presented dependency plots of the probability of system uptime and plots of the uniform difference of the obtained simulation results against the relative speed of recovery; also plots of the empirical distribution function F(x) and reliability function R(x) relative to the reliability assessment. Software implementation of simulation algorithms was carried out on the basis of the R language.

Original languageEnglish
Title of host publicationDistributed Computer and Communication Networks - 23rd International Conference, DCCN 2020, Revised Selected Papers
EditorsVladimir M. Vishnevskiy, Dmitry V. Kozyrev, Konstantin E. Samouylov, Dmitry V. Kozyrev
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages13
ISBN (Print)9783030664701
Publication statusPublished - 2020
Event23rd International Conference on Distributed Computer and Communication Networks, DCCN 2020 - Moscow, Russian Federation
Duration: 14 Sep 202018 Sep 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12563 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference23rd International Conference on Distributed Computer and Communication Networks, DCCN 2020
CountryRussian Federation


  • Probability of the failure-free operation
  • Redundant communications
  • Relative repair rate
  • Reliability of redundant systems
  • Sensitivity analysis
  • Simulation
  • Stochastic modeling

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