Telecommunication network analysis with incomplete reliability control systems
https://doi.org/10.34680/2076-8052.2021.4(125).108-113
Abstract
The article is based on the tasks of telecommunication networks analysis in terms of incomplete reliability conditions in monitoring system performance. A number of mathematical models for network element functioning have been developed taking into account failure processes and restoration of network elements (NE). Mathematical models have been divided into two types. Models of the first type include the states of NE that are captured during the recovery process. Models of the second type reflect intrasystem functions during operation. Equations for estimation of the downtime ratio and average time of traffic transmission unavailability over a dedicated communication line have been obtained. The initial parameters have been systematized and classified according to calculated or operational indicators. An option for solving the problems is proposed on the basis of joint consideration of estimated parameters and statistical data in the network monitoring system. A software implementation of performed theoretical calculations is proposed. Dependences of reliability indicators values and the probability of errors in the control system have been revealed. Dependency graphs for different values of initial and operational parameters have been built.
About the Author
O. G. SherstnevaRussian Federation
References
1. GOST 27.002–1989. Nadezhnost` v texnike. Terminy` iopredeleniya [State Standard 27.002–1989. Reliability in technology. Terms and Definitions]. Moscow, Standartinform Publ., 1990. 24 p.
2. GOST R 5311–2008 Ustojchivost` funkcionirovaniya seti svyazi obshhego pol`zovaniya. Trebovaniya i metody` proverki [State Standard R 5311–2008. Stability of public communication network functioning. Requirements and verification methods]. Moscow, Standartinform Publ., 2008. 20 p.
3. Sherstneva A.A. Otsenka parametrov odnomernogo i dvumernogo raspredeleniya sluchaynykh velichin [Parameters estimation of one-dimensional and two-dimensional distribution of random variables]. Vestnik Novgorodskogo gosudarstvennogo universiteta – Vestnik NovSU, 2020, no. 5 (121), pp. 63-67. doi: https://doi.org/10.34680/2076-8052.2020.5(121).63-67
4. Vilkov A.P., Rodionova T.E. Ispol'zovanie system odnovremennykh uravneniy dlya polucheniya modeley opisaniya tekhnicheskikh ob"ektov [Using systems of simultaneous equations to obtain models for describing technical objects]. Sovremennye problem proektirovaniya, proizvodstva i ekspluatatsii radiotekhnicheskikh system – Modern problems of design, production and operation of radio systems. 2016, №10, pp.175-177.
5. Sherstneva O.G., Sherstneva A.A. Programma imitacii funkcionirovaniya telekommunikacionnoj seti s uchetom real`ny`x pokazatelej nadezhnosti. Svidetel`stvo o regi-stracii e`lektronnogo resursa, no. 17760. 29.12.2011.
6. Wickham H. Elegant graphics for data analysis. 2td ed. Springer, 2016. 213 p.
7. Eremenko V.T. Metody i modeli teorii teletrafika [Teletraffic theory methods and models], OGU imeni I.S. Turgeneva – Orel State University, 2019. 244 p.
Review
For citations:
Sherstneva O.G. Telecommunication network analysis with incomplete reliability control systems. Title in english. 2021;(4(125)):108-113. (In Russ.) https://doi.org/10.34680/2076-8052.2021.4(125).108-113