Determining the capacity of the self-healing network segment

Main Article Content

Nina Kuchuk
Oleksandr Shefer
Galina Cherneva
Frhat Ali Alnaeri

Abstract

An approach to determining the bandwidth of the self-healing segment of the data network is proposed. The subject of the study are autonomous segments of the telecommunications network, which have the property of self-healing. The object of research is the process of information transfer between nodes of an autonomous segment. The scientific novelty is to improve the method of determining the capacity of the self-healing segment of the telecommunications network with limited network resources by applying the criterion of ensuring the minimum time of information delivery at a given limit of possible probability of loss. The following tasks were solved: a mathematical model of the self-healing segment of the telecommunication network in the form of a queuing system was developed; the proposed method of calculating the degree of channel congestion. Conclusion: the proposed approach made it possible to calculate the bandwidth of the communication channels of the self-healing segment of the telecommunications network and the required amount of buffer memory with a known network topology and a given gravity matrix, providing the required values of failure probability and guarantee minimum message delivery time.

Article Details

How to Cite
Kuchuk, N., Shefer, O., Cherneva, G., & Alnaeri, F. A. (2021). Determining the capacity of the self-healing network segment. Advanced Information Systems, 5(2), 114–119. https://doi.org/10.20998/2522-9052.2021.2.16
Section
Information systems research
Author Biographies

Nina Kuchuk, National Technical University «Kharkiv Polytechnic Institute», Kharkiv

Doctor of Technical Sciences, Associate Professor, Associate Professor of Computer Science and Programming Department

Oleksandr Shefer, National University «Yuri Kondratyuk Poltava Polytechnic», Poltava

Doctor of Technical Sciences, Associate Professor, Head of the Department of Automation, Electronics and Telecommunications

Galina Cherneva, “Todor Kableshkov” University of Transport, Sofia; South West University, Blagoevgrad

Doctor of Sciences (Communication Technology), Professor

Frhat Ali Alnaeri, National University «Yuri Kondratyuk Poltava Polytechnic», Poltava

Postgraduate student of the Department of Automation, Electronics and Telecommunications

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