METHODS OF MANAGING TRAFFIC DISTRIBUTION IN INFORMATION AND COMMUNICATION NETWORKS OF CRITICAL INFRASTRUCTURE SYSTEMS

The subject matter of the article is information and communication networks (ICN) of critical infrastructure systems (CIS). The goal of the work is to create methods for managing the data flows and resources of the ICN of CIS to improve the efficiency of information processing. The following tasks w...

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Main Authors: Viktor Kosenko, Elena Persiyanova, Oleksiy Belotskyy, Olga Malyeyeva
Format: Article
Language:English
Published: Kharkiv National University of Radio Electronics 2017-11-01
Series:Сучасний стан наукових досліджень та технологій в промисловості
Subjects:
Online Access:https://itssi-journal.com/index.php/ittsi/article/view/30
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author Viktor Kosenko
Elena Persiyanova
Oleksiy Belotskyy
Olga Malyeyeva
author_facet Viktor Kosenko
Elena Persiyanova
Oleksiy Belotskyy
Olga Malyeyeva
author_sort Viktor Kosenko
collection DOAJ
description The subject matter of the article is information and communication networks (ICN) of critical infrastructure systems (CIS). The goal of the work is to create methods for managing the data flows and resources of the ICN of CIS to improve the efficiency of information processing. The following tasks were solved in the article: the data flow model of multi-level ICN structure was developed, the method of adaptive distribution of data flows was developed, the method of network resource assignment to multi-server nodes was developed. The following methods used are –methods of mathematical statistics for random processes, the theory of queuing systems, methods of optimization theory and operations research. The following results were obtained – the principles of managing the distribution of network traffic in the ICN of CIS were formulated and the practical requirements arising in the efficiency of data transmission were determined. The possible approaches to the formulation and solution of the listed problems were suggested according to the developed general approach to network management. The multi-level information structure was investigated. The mathematical model of data flows of a multilevel information structure of the network was developed; it has a three-level unstratified structure and consists of a number of subnets and groups of nodes. The method for adaptive management of data flows distribution was developed; this method includes the stratified two-level management which is based on the development of a multidimensional space of the network state and management parameters taking into account user activities. The management is carried out at the first level by setting the basic parameters of the network, at the second – by operational management with constant basic parameters. The method for distributing the resources of a multi-server information processing node was developed, as server systems are considered as a set of single-line queuing systems and information about the distribution of the bandwidth of communication channels is used. Conclusions: using the method of the adaptive management of traffic distribution enables reducing the time for processing system transactions and total costs for maintenance. The use of the method resource distribution of the server node in the course of re-engineering CIS processes minimizes the costs of servicing the data flows.
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spelling doaj.art-6e214d3efc9d4bf38cb51f43a52075972022-12-22T01:58:03ZengKharkiv National University of Radio ElectronicsСучасний стан наукових досліджень та технологій в промисловості2522-98182524-22962017-11-012 (2)10.30837/2522-9818.2017.2.04827METHODS OF MANAGING TRAFFIC DISTRIBUTION IN INFORMATION AND COMMUNICATION NETWORKS OF CRITICAL INFRASTRUCTURE SYSTEMSViktor Kosenko0Elena Persiyanova1Oleksiy Belotskyy2Olga Malyeyeva3State Enterprise "Kharkіv Scientific-Research Institute of Mechanical Engineering Technology"State Enterprise "Southern National Design & Research Institute of Aerospace Industries"Kharkiv Regional State AdministrationNational Aerospace University – Kharkiv Aviation InstituteThe subject matter of the article is information and communication networks (ICN) of critical infrastructure systems (CIS). The goal of the work is to create methods for managing the data flows and resources of the ICN of CIS to improve the efficiency of information processing. The following tasks were solved in the article: the data flow model of multi-level ICN structure was developed, the method of adaptive distribution of data flows was developed, the method of network resource assignment to multi-server nodes was developed. The following methods used are –methods of mathematical statistics for random processes, the theory of queuing systems, methods of optimization theory and operations research. The following results were obtained – the principles of managing the distribution of network traffic in the ICN of CIS were formulated and the practical requirements arising in the efficiency of data transmission were determined. The possible approaches to the formulation and solution of the listed problems were suggested according to the developed general approach to network management. The multi-level information structure was investigated. The mathematical model of data flows of a multilevel information structure of the network was developed; it has a three-level unstratified structure and consists of a number of subnets and groups of nodes. The method for adaptive management of data flows distribution was developed; this method includes the stratified two-level management which is based on the development of a multidimensional space of the network state and management parameters taking into account user activities. The management is carried out at the first level by setting the basic parameters of the network, at the second – by operational management with constant basic parameters. The method for distributing the resources of a multi-server information processing node was developed, as server systems are considered as a set of single-line queuing systems and information about the distribution of the bandwidth of communication channels is used. Conclusions: using the method of the adaptive management of traffic distribution enables reducing the time for processing system transactions and total costs for maintenance. The use of the method resource distribution of the server node in the course of re-engineering CIS processes minimizes the costs of servicing the data flows.https://itssi-journal.com/index.php/ittsi/article/view/30information and communication networkcritical infrastructure systemtraffic distributionmulti-server nodedata flows
spellingShingle Viktor Kosenko
Elena Persiyanova
Oleksiy Belotskyy
Olga Malyeyeva
METHODS OF MANAGING TRAFFIC DISTRIBUTION IN INFORMATION AND COMMUNICATION NETWORKS OF CRITICAL INFRASTRUCTURE SYSTEMS
Сучасний стан наукових досліджень та технологій в промисловості
information and communication network
critical infrastructure system
traffic distribution
multi-server node
data flows
title METHODS OF MANAGING TRAFFIC DISTRIBUTION IN INFORMATION AND COMMUNICATION NETWORKS OF CRITICAL INFRASTRUCTURE SYSTEMS
title_full METHODS OF MANAGING TRAFFIC DISTRIBUTION IN INFORMATION AND COMMUNICATION NETWORKS OF CRITICAL INFRASTRUCTURE SYSTEMS
title_fullStr METHODS OF MANAGING TRAFFIC DISTRIBUTION IN INFORMATION AND COMMUNICATION NETWORKS OF CRITICAL INFRASTRUCTURE SYSTEMS
title_full_unstemmed METHODS OF MANAGING TRAFFIC DISTRIBUTION IN INFORMATION AND COMMUNICATION NETWORKS OF CRITICAL INFRASTRUCTURE SYSTEMS
title_short METHODS OF MANAGING TRAFFIC DISTRIBUTION IN INFORMATION AND COMMUNICATION NETWORKS OF CRITICAL INFRASTRUCTURE SYSTEMS
title_sort methods of managing traffic distribution in information and communication networks of critical infrastructure systems
topic information and communication network
critical infrastructure system
traffic distribution
multi-server node
data flows
url https://itssi-journal.com/index.php/ittsi/article/view/30
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AT oleksiybelotskyy methodsofmanagingtrafficdistributionininformationandcommunicationnetworksofcriticalinfrastructuresystems
AT olgamalyeyeva methodsofmanagingtrafficdistributionininformationandcommunicationnetworksofcriticalinfrastructuresystems