THE METHOD OF JITTER DETERMINING IN THE TELECOMMUNICATION NETWORK OF A COMPUTER SYSTEM ON A SPECIAL SOFTWARE PLATFORM

Authors

DOI:

https://doi.org/10.30837/2522-9818.2019.10.134

Keywords:

computer system, telecommunication network, jitter

Abstract

Relevance of the study: When choosing a platform, the quality criteria for computer system service depend significantly on the parameters of the basic telecommunications network. Therefore, the telecommunications network has strict requirements. In addition, the network must satisfy a number of constraints that are set by the computer system. Only the fulfillment of these conditions will allow the computer system to solve its tasks. Also, when constructing, modifying and operating telecommunication networks, there is a rather common problem with no digital signal processing, network synchronization and stability. The tasks of ensuring temporary requirements for system transactions: it is necessary to find the most significant QoS parameters that allow dynamic network reconfiguration to ensure the fulfillment of temporary requirements for system transactions. Subject of study: jitter of the telecommunication network. The purpose of the article is to develop a method of prompt calculation of jitter values of a telecommunication network for dynamic adjustment of network parameter. Results of the study: The analysis of the influence of nonstationarity of data transmission in the telecommunication subsystem of the investigated computer system was carried out. The classification of jitter and causes leading to its occurrence has been made. The results of the analysis of the factors that improve the quality of data transmission in the network due to the operational jitter frequency calculation are presented. Researches of the resolution characteristics of coherent acousto-optic spectro-analysers are carried out in the work. Analytical ratios for the output signal were obtained for two monochromatic radio signals at the input, taking into account the effects of nonlinear interaction of the output signals and the a priori dependence of the location and width of the diffraction spot on the frequency of the investigated signal. The most significant qualitative and quantitative characteristics of frequency separation are shown in the example of two monochromatic signals, which differ only in carrier frequencies. These analytical ratios were experimentally verified by simulation of the system. Conclusions. As a result of the research, a method of increasing the resolution of acousto-optic spectro analyzers was proposed due to the features of coherent signal interaction in the frequency jitter computation process. It is based on the method of operative calculation of jitter value of telecommunication network, which allows performing dynamic adjustment of network parameters.

Author Biographies

Mykhailo Mozhaiev, Kharkiv SRI Examinations named Dist. prof. N.S. Bokarius

PhD (Engineering Sciences), Head of Laboratory on Speech and Audio Computer Engineering and Telecommunication

Nina Kuchuk, National Technical University "Kharkiv Polytechnic Institute"

PhD (Pedagogy Sciences), Associate Professor, Associate Professor of the Department of Computer Engineering and Programming

Maksym Usatenko, Yaroslav Mudryi National Law University

Student of Institute of Training for Justice Bodies of Ukraine

References

Merlac, V., Smatkov, S., Kuchuk, N., Nechausov, A. (2018), "Resourses Distribution Method of University e-learning on the Hypercovergent platform", Сonf. Proc. of 2018 IEEE 9th International Conference on Dependable Systems, Service and Technologies. DESSERT’2018. Ukraine, Kyiv, May 24-27, 2018, P. 136–140. DOI: http://dx.doi.org/10.1109/DESSERT.2018.8409114

Kuchuk, N., Artiukh, R. and Nechausov, A. (2017), "Method of building the semantic network of distributed search in e-learning", Innovative Technologies and Scientific Solutions for Industries, No. 2 (2), P. 62–69. DOI: https://doi.org/10.30837/2522-9818.2017.2.062

Whitt, W. (1983), "The Queuing Network Analyzes", Bell System Tech. I., Vol. 62, No. 9, Р. 2779–2815.

Kuchuk, G. A. (2007), "Traffic management of multiservice distributed telecommunication network" ["Upravlinnya trafikom mulʹtyservisnoyi rozpodilenoyi telekomunikatsiynoyi merezhi"], Management, navigation and communication systems, Kyiv : TsNII NiU, Issue 2, P. 18–27.

Svyrydov, A., Kovalenko, A., Kuchuk, H. (2018), "The pass-through capacity redevelopment method of net critical section based on improvement on/off models of traffic", Advanced Information Systems, Vol. 2, No. 2, P. 139–144. DOI: https://doi.org/10.20998/2522-9052.2018.2.24

Kuchuk, G. A., Kovalenko, A. A., Lukov-Chuiko, N. V. (2017), "A method for minimizing the average packet delay in virtual cloud support network connections" ["Metod minimizatsiyi serednʹoyi zatrymky paketiv u virtualʹnykh zʺyednannyakh merezhi pidtrymky khmarnoho servisu"], Management, navigation and communication systems, No. 2 (42), P. 117–120.

Kuchuk, G. A., Ruban, I. V., Davikoza, O. P. (2013), "Conceptual approach to synthesis of information and telecommunication network structure" ["Kontseptualʹnyy pidkhid do syntezu struktury informatsiyno-telekomunikatsiynoyi merezhi "], Systems of information processing: collection of scientific works, No. 7 (114), P. 106–112.

Lemeshko, O., Yevdokymenko, M., Yeremenko, O. (2019), "Model of data traffic QoS fast rerouting in infocommunication networks", Innovative Technologies and Scientific Solutions for Industries, No. 3 (9), P. 6–13. DOI: https://doi.org/10.30837/2522-9818.2019.9.127

Kosenko, V. (2017), "Mathematical model of optimal distribution of applied problems of safety-critical systems over the nodes of the information and telecommunication network", Advanced Information Systems, Vol. 1, No. 2, P. 4–9. DOI: https://doi.org/10.20998/2522-9052.2017.2.01

Kovalenko, A., Kuchuk, H. (2018), "Methods for synthesis of informational and technical structures of critical application object’s control system", Advanced Information Systems, Vol. 2, No. 1, P. 22–27. DOI: https://doi.org/10.20998/2522-9052.2018.1.04

Zykov, I., Kuchuk, N., Shmatkov, S. (2018), "Architecture synthesis of the computer system of transaction control e-learning", Advanced Information Systems, Vol. 2, No. 3, P. 60–66. DOI: https://doi.org/10.20998/2522-9052.2018.3.10

Gelenbe, E., Pujolle, G. (2010), Analysis and synthesis of computer systems (2nd Edition), Advances in Computer Science and Engineering : Texts, Vol. 4, 309 p.

Kuchuk, N., Mohammed, A. S., Shyshatskyi, A. and Nalapko, O. (2019), "The method of improving the efficiency of routes selection in networks of connection with the possibility of self-organization", International Journal of Advanced Trends in Computer Science and Engineering, No. 8(1), Р. 1–6, DOI: https://doi.org/10.30534/ijatcse/2019/0181.22019.

Kuchuk, G., Kharchenko, V., Kovalenko, A., Ruchkov, E. (2016), "Approaches to selection of combinatorial algorithm for optimization in network traffic control of safety-critical systems", East-West Design & Test Symposium (EWDTS), P. 1–6. DOI: https://doi.org/10.1109/EWDTS.2016.7807655

Mozhaev, O., Kuchuk, H., Kuchuk, N., Mozhaev, M., Lohvynenco, M. (2017), "Multiservise network security metric", IEEE Advanced information and communication technologies-2017, Proc. of the 2th Int. Conf. Lviv, 2017, P. 133–136.

Kosenko, V. (2017), "Principles and structure of the methodology of risk-adaptive management of parameters of information and telecommunication networks of critical application systems", Innovative Technologies and Scientific Solutions for Industries, No. 1 (1), P. 75–81. DOI: https://doi.org/10.30837/2522-9818.2017.1.046

Kuchuk, G. A., Kovalenko, A. A., Mozhaev, A. A. (2010), "An Approach To Development Of Complex Metric For Multiservice Network Security Assessment", Statistical Methods Of Signal and Data Processing (SMSDP – 2010): Proc. Int. Conf., October 13-14, 2010.– Kiev: NAU, RED, IEEE Ukraine section joint SP, 2010, P. 158–160.

Kliuiev, O., Mozhaiev, M., Uhrovetskyi, O., Mozhaiev, O., Simakova-Yefremian, E. (2019), "Method of forensic research on image for finding touch up on the basis of noise entropy", 2019 3rd International Conference on Advanced Information and Communications Technologies, AICT 2019 – Proceedings.

Gavrylenko, S. (2019), "Synthesis of identification measurements in the computer system of critical purpose", Innovative Technologies and Scientific Solutions for Industries, No. 2 (8), P. 36–43. DOI: https://doi.org/10.30837/2522-9818.2019.8.036

Filimonchuk, T., Volk, M., Risukhin, M., Olshanska, T., Kazmina, D. (2019), The modified information technology for the distribution of resource tasks for cloud computing systems, Innovative Technologies and Scientific Solutions for Industries, No. 1 (7), P. 121–129. DOI: https://doi.org/10.30837/2522-9818.2019.7.121

Davydovskyi, Y., Reva, O., Artiukh, O., Kosenko, V. (2019), "Simulation of computer network load parameters over a given period of time", Innovative Technologies and Scientific Solutions for Industries, No. 3 (9), P. 72–80. DOI: https://doi.org/10.30837/2522-9818.2019.9.072

Optical processing of radio signals in real time, [Opticheskaya obrabotka radiosignalov v real'nom vremeni], Ed. S.V. Kulakova, Moscow : Radio and communications, 1989, 136 p.

Akayev, A. A., Mayorov, S. A. (1988), Optical methods of information processing [Opticheskiye metody obrabotki informatsii], Moscow : Higher school, 237 p.

Kuchuk, G., Kovalenko, A., Komari, I. E., Svyrydov, A., Kharchenko, V. (2019), "Improving big data centers energy efficiency: Traffic based model and method. Studies in Systems, Decision and Control", Springer Nature Switzerland AG, Vol. 171, P. 161–183. DOI: http://doi.org/10.1007/978-3-030-00253-4_8

Downloads

How to Cite

Mozhaiev, M., Kuchuk, N., & Usatenko, M. (2019). THE METHOD OF JITTER DETERMINING IN THE TELECOMMUNICATION NETWORK OF A COMPUTER SYSTEM ON A SPECIAL SOFTWARE PLATFORM. INNOVATIVE TECHNOLOGIES AND SCIENTIFIC SOLUTIONS FOR INDUSTRIES, (4 (10), 134–140. https://doi.org/10.30837/2522-9818.2019.10.134

Issue

Section

ELECTRONICS, TELECOMMUNICATION SYSTEMS & COMPUTER NETWORKS