SIMULATION OF COMPUTER NETWORK LOAD PARAMETERS OVER A GIVEN PERIOD OF TIME
DOI:
https://doi.org/10.30837/2522-9818.2019.9.072Keywords:
computer network, simulation, system dynamics, osi model, trafficAbstract
The article deals with the processes of data transmission on computer networks in terms of functional and non-functional indicators of network performance. The purpose of the work is to formalize the characteristics of the computer network that are taken into account in the simulation method and to demonstrate the operation of the method using a test case. The following tasks are solved in the article: substantiation of necessity of application of modeling methods during modernization of computer networks; determining the characteristics of a computer network that affect data transmission processes; formalization of indicators that will be directly applied in the modeling process; description of the test case for the model; iterative simulation of network operation. The following research methods are used: basics of system analysis, models of network functioning, simulation modeling method. The following results were obtained: a computer network considered for functional and non-functional performance characteristics, highlighted characteristics that affect the quality of service delivery, and those that affect the cost of the network topology built. Formulas for calculating the amount of information resource of a network are presented. Formulas for calculating the amount of information resource of a network are presented. The list of basic network characteristics that should be taken into account when modeling network load is justified. Test bench for model work is described. An illustrative example of using a test-based simulation method is calculated. Conclusions: It is concluded that taking into account a large number of network performance indicators will overload the modeling process and it is decided to choose universal indicators of a computer network, which would not depend on the topology of its construction or the type of protocol used. The ability to create a simulation model of a computer network for use in predicting network behaviour when changing the number of requests has been confirmed. Further development of the method will allow us to predict the times of network congestion requests to improve the efficiency of the computer network being upgraded.
References
Reva, A., Davydovskyi, Yu. (2018), "Method of the network topology transformation to quasihomogeneous structure", Radioelectronic and computer systems, No. 2, P. 43–51. DOI: https://doi.org/10.32620/reks.2018.2
Davydovskyi, Yu., Reva, A., Malyeyeva, O. (2018), "Method of modelling the parameters of data communication network for its upgrading", Innovative Technologies and Scientific Solutions for Industries, No. 4 (6), P. 15–22. DOI: https://doi.org/10.30837/2522-9818.2018.6.015
Internet World Stats: Usage and Population Statistics, URL: https://www.internetworldstats.com/stats.htm
Cisco VNI, “Cisco Visual Networking Index: Forecast and Trends, 2017–2022”, URL: https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white-paper-c11-741490.html
Zhuang, Y., Cappos, J., Rappaport, T., McGeer, R. Future Internet Bandwidth Trends: An Investigation on Current and Future Disruptive Technologies. Secure Systems Lab, Dept. Comput. Sci. Eng., Polytech. Inst. New York Univ., New York, NY, USA, Tech. Rep. TRCSE-2013-0411/01/2013, URL: https://www.semanticscholar.org/paper/Future-Internet-Bandwidth-Trends%3A-An-Investigation-Zhuang-Rappaport/5b8d6b99770c8e4045b40ed3f3a5aea1ff202fd2
Lakhina, A., Papagiannaki, K., Crovella, M., Diot, C. (2004), "Structural Analysis of Network Traffic Flows", ACM SIGMETRICS Performance Evaluation Review, No. 32 (1), P. 61–72
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
Averin, G. V. (2014), Systemodynamics, Donetsk : Donbass, 403 p.
The AnyLogic Company. Discrete Event Simulation, URL: https://www.anylogic.ru/use-of-simulation/discrete-event-simulation/
Kovalenko, A., Kuchuk, H., Ruban, I. (2018), "Using time scales while approximating the length of computer networks", Innovative Technologies and Scientific Solutions for Industries, No. 2 (4), P. 12–18. DOI: https://doi.org/10.30837/2522-9818.2018.4.012
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.
Malyeyeva, O., Davydovskyi, Y., Kosenko, V. (2019), "Statistical analysis of data on the traffic intensity of Internet networks for the different periods of time", Second International Workshop on Computer Modeling and Intelligent Systems (CMIS-2019), P. 897–910.
Poshtarenko, V. M., Andreev, A. Yu., Amal, M. (2013), "Service quality assurance at critical sections of a multiservice network", Newsletter of the National Technical University, No. 60, P. 94–100.
Mathematical foundations of the theory of telecommunication systems, in general. ed. V. V. Popovsky, Kharkiv : SMIT Company LLC, 2006, 564 p.
Modems and routers for IP-based networks, URL: https://w3.siemens.com/mcms/industrial-communication/en/industrial-remote-communication/remote-networks/Pages/modems-routers-ip-based-networks.aspx
Kozlov, S. V., Ostrikov, Yu. P., Sukhanov, A. L. (2014), "Optimal distribution of information and computing resources based on a two-level criterion", Management of large systems: Sat tr, P. 71–84.
Pyatibratov, A. P., Gudyno, L. P., Kirichenko, A. A. (2016), Computing systems, networks and telecommunications, Moscow : Publishing house: "Prospect", 332 p.
Saleem Bhatti, "Channel capacity", Lecture notes for M.Sc. Data Communication Networks and Distributed Systems D51 -- Basic Communications and Networks. URL: https://web.archive.org/web/20070821212637/http://www.cs.ucl.ac.uk:80/staff/S.Bhatti/D51-notes/node31.html
Downloads
How to Cite
Issue
Section
License
Copyright (c) 2019 Yurii Davydovskyi, Oleksandr Reva, Olesia Artiukh, Viktor Kosenko
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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.
