Valentyn Sobchuk

Work place: State University of Telecommunications, Kyiv,Ukraine

E-mail: v.v.sobchuk@gmail.com

Website:

Research Interests: Information Systems

Biography

Sobchuk Valentyn: Doctor of Engineering, Professor Department of Higher Mathematics, Institute of Humanities and Natural Sciences, State University of Telecommunications : Study in Ukraine. Research interests: stability theory, functional stability of information systems of manufacturing enterprises, qualitative theory of nonlinear dynamical systems, differential equations Number of articles in national databases – 65. Number of articles in international databases – 38. H-index – 4

Author Articles
Comprehensive Methods of Evaluation of Distance Learning System Functioning

By Oleg Barabash Oleksandr Laptiev Valentyn Sobchuk Ivanna Salanda Yulia Melnychuk Valerii Lishchyna

DOI: https://doi.org/10.5815/ijcnis.2021.03.06, Pub. Date: 8 Jun. 2021

Given recent events, training during quarantine can only take place remotely. To ensure quality training, communication must be seamless. To do this, the network must function smoothly. The solution to this problem is functionally stable networks that allow uninterrupted transmission of information due to redundancy. An important issue is the definition of redundancy. To solve this problem, the article considers the method of synthesis of the structure of the distance learning system. The method of synthesis of network structure used for providing distance learning by the criterion of maximum functional stability on the basis of the introduction of correcting communication lines is offered. With this method, you can develop tools for self-recovery of distributed software, taking into account the characteristics of disparate computer resources through the use of redundancy. This will allow you to develop functionally stable software systems, significantly reduce the recovery time of such systems after or in the event of possible failures. To increase the efficiency of the developed method, the mathematical model of the hyper network based on two hypergraphs was improved, which allows taking into account different requirements for the quality of the network.

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