METHOD OF MODELLING THE PARAMETERS OF DATA COMMUNICATION NETWORK FOR ITS UPGRADING
AbstractThe subject matter of the article is data communication in a transport network. The goal is to develop the method of modelling the parameters of a data communication network, which enables formalizing network parameters to simulate its behaviour taking into consideration dynamically changing traffic. The following tasks were solved in the article: the significance of upgrading data communication nets was substantiated using their increasing growth as an example; the need to create an automated tool for modelling, in contrast to the involvement of technical specialists, was determined; the abstraction levels of the data communication net were selected for its modelling; a mathematical apparatus was determined for calculating model parameters; a method for modelling data communication net was developed. The following methods were used – the basics of system analysis, the simulation method. The following results were obtained: The predicted graph of the traffic growth by categories as well as the generalized chart was presented. The conclusion was made that traffic grows exponentially. The upgrade of the network was assessed taking into account various types of costs. The conclusion was made that the market demands an automated tool for net designing and upgrading. Various methods for modelling dynamic systems were considered; a method for creating a model of transport network was selected. The seven-level OSI model was considered and the authors' interpretation of the features of its levels was given. Four lower levels of this model were chosen as the abstraction levels of modelling, the main characteristics of the transport network for using by the model were singled out. The operation of the lower levels of the transport network was formalized in the form of separate mathematical models and formulas, which formed the basis for describing the method of modelling the transport network functions. The ways of applying this method to upgrade the topology of the transport network were specified. Conclusions. Thus, the new method of transport network modelling was developed; this method improves and simplifies the net development or upgrade, which, in turn, enables reducing the costs for designing the net topology and improving the recycling of network resources.
Nerush, V. B., Kurdecha, V. V. (2012), Simulation of systems and processes [Imitatsiyne modelyuvannya system ta protsesiv], National Technical University of Ukraine "KPI", 115 p. [in Ukrainian].
Nevliudov, I., Tsymbal, O., & Bronnikov, A. (2018), "Intelligent means in the system of managing manufacturing agent", Innovative Technologies and Scientific Solutions for Industries, No. 1 (3), P. 33–47. DOI: https://doi.org/10.30837/2522-9818.2018.3.033.
Averyn, G. V. (2014), Systemdynamics [Sistemodinamika], Donetsk: Donbass, 403 p. [in Russian].
The AnyLogic Company. Discrete Event Simulation Modeling [Diskretno-sobytiynoye imitatsionnoye modelirovaniye], available at: https://www.anylogic.ru/use-of-simulation/discrete-event-simulation/ (last accessed 03.12.2018).
Ducard, G. Modeling and Analysis of Dynamic Systems, available at: https://www.ethz.ch/content/dam/ethz/special-interest/mavt/dynamic-systems-n-control/idsc-dam/Lectures/System-Modeling/Slides_HS17/SysMod2017_Lect1.pdf (last accessed 03.12.2018).
Kovalenko, A., Kuchuk, H., & Ruban, I. (2018), "Using time scales while approximation the length of computer networks" ["Ispolzovanie vremennyh shkal pri approksimacii dliny ocheredej v kompjuternyh setjah"], Innovative Technologies and Scientific Solutions for Industries, No. 2 (4), P. 12–18. DOI: https://doi.org/10.30837/2522-9818.2018.4.012. [in Russian].
Kosenko, V., Persiyanova, E., Belotskyy, O., Maleyeva, O. (2017), "Methods of managing traffic distribution in information and communication networks of critical infrastructure systems", Innovative Technologies and Scientific Solutions for Industries, No. 2 (2), P. 48–55. DOI: https://doi.org/10.30837/2522-9818.2017.2.048.
Wilensky, U., William, R. (2015), An Introduction to Agent-Based Modeling, MIT Press, 504 p.
Minigraph Talking Pages, Computer Network Models, available at: https://www.minigranth.com/computer-networks-tutorial/computer-network-models/ (last accessed 03.12.2018).
Mobile technology trends: traffic by application category, available at: https://www.ericsson.com/en/mobility-report/mobile-traffic-by-application-category (last accessed 03.12.2018).
Cisco, V. N. I. "Traffic Analysis", available at: https://www.cisco.com/c/en/us/td/docs/ios/solutions_docs/voip_solutions/TA_ISD.html (last accessed at 03.12.2018).
Cisco, V. N. I. "Cisco Visual Networking Index: Forecast and Trends, 2017–2022", available at: https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white-paper-c11-741490.html (last accessed at 03.12.2018).
Kosenko, V., Maleyeva, O., Persiyanova, E., Rogovyi, A. (2017), "Analysis of information-telecommunication network risk based on cognitive maps and cause-effect diagram", Advanced Information Systems, Vol. 1, No. 1., P. 49–56. DOI: https://doi.org/10.20998/2522-9052.2017.1.09 [in English].
Shaw, K "The OSI model explained: How to understand (and remember) the 7 layer network model", available at: https://www.networkworld.com/article/3239677/lan-wan/the-osi-model-explained-how-to-understand-and-remember-the-7-layer-network-model.html (last accessed at 03.12.2018).
Reva, O. A., Davydovskyi, Y. K. (2018), "Method of the network topology transformation to quasihomogeneous structure" ["Rozrobka metodyky modernizatsiyi topolohiyi merezhi dlya otrymannya kvaziodnoridnoyi struktury"], Radioelectronic and computer systems, No. 2, P. 43–51. DOI: https://doi.org/10.32620/reks.2018.2 [in Ukrainian].
Abstract views: 48 PDF Downloads: 10
Our journal abides by the Creative Commons copyright rights and permissions for open access journals.
Authors who publish with this journal agree to the following terms:
Authors hold the copyright without restrictions and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-commercial and non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
Authors are permitted and encouraged to post their published work online (e.g., in institutional repositories or on their website) as it can lead to productive exchanges, as well as earlier and greater citation of published work.