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

Authors: Kosenko, Viktor; Persiyanova, Elena; Belotskyy, Oleksiy; Malyeyeva, Olga;

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

Abstract

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.

Keywords

traffic distribution, multi-server node, data flows, information and communication network; critical infrastructure system; traffic distribution; multi-server node; data flows, Engineering economy, інфокомунікаційна мережа; системи критичної інфраструктури; розподіл трафіку; багатосерверний вузол; потоки даних, information and communication network, TA177.4-185, critical infrastructure system, инфокоммуникационные сеть; системы критической инфраструктуры; распределение трафика; многосерверных узел; потоки данных

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    popularity
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    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
gold