METHODS FOR ANALYSIS OF PROBABILITY CHARACTERISTICS OF INFORMATION AND COMMUNICATION TRAFFIC
Аннотация
The article is devoted to the analysis of probabilityc characteristics of information and communication traffic. The intensification of information exchange in information and communication networks determines the relevance of optimizing the distribution of network resources and dynamically managing them in order to minimize the possibility of traffic congestion. There are classified the most important parameters and characteristics of multiservice networks.
Литература
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2.D. McMillan, Traffic modeling and analysis for cellular mobile networks, 13th International Teletraffic Congress, Copenhagen, Jun. 2019.
3.X. Yang, A.P. Petropulu, The Extended Alternating Fractal Renewal Process for Modeling Traffic in High-Speed Communication Networks, IEEE Trans. Sig. Proc., vol. 49, no. 7, July 2017.
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5. Sh.Zh. Seilov, S.N. Boranbayev, M.N. Kasenova, A.A.Seilova, D.S. Shingisov. Intelligent analysis of information and communication traffic. Bulletin ofL.N. Gumilyov Eurasion national university. Engineering Science and Technology Series. –2019, №3 (128), 76-87 p.
6.S.N. Boranbayev, D.D. Kuanyshev. Network traffic analysis tools. Eurasian Union of Scientists (ЕUS). -2020, № 12 (81), Volume 5, Series: Engineering Sciences, 35-38 p.
7.T. U. Lushnikova. Characteristics of Campus Traffic, Telecommunication, №4, 2017, 51-55p.
8.https://itpro.ua/product/solarwinds-netflowtraffic-analyzer-4/?tab=description
9.Wan Optimizations.http://searchenterprisewan.techtarget.co m/definition/WAN-optimization
10.A.I. Getman, E.F. Evstropov, U.V. Markin. Online network traffic analysis: an overview of applications, approaches and solutions, http://www.ispras.ru/preprints/docs/prep_28_2015.pdf
2.D. McMillan, Traffic modeling and analysis for cellular mobile networks, 13th International Teletraffic Congress, Copenhagen, Jun. 2019.
3.X. Yang, A.P. Petropulu, The Extended Alternating Fractal Renewal Process for Modeling Traffic in High-Speed Communication Networks, IEEE Trans. Sig. Proc., vol. 49, no. 7, July 2017.
4.Abdelnaser Adas, Traffic Models in Broadband Networks, IEEE Communications Magazine, Jul. 2017.
5. Sh.Zh. Seilov, S.N. Boranbayev, M.N. Kasenova, A.A.Seilova, D.S. Shingisov. Intelligent analysis of information and communication traffic. Bulletin ofL.N. Gumilyov Eurasion national university. Engineering Science and Technology Series. –2019, №3 (128), 76-87 p.
6.S.N. Boranbayev, D.D. Kuanyshev. Network traffic analysis tools. Eurasian Union of Scientists (ЕUS). -2020, № 12 (81), Volume 5, Series: Engineering Sciences, 35-38 p.
7.T. U. Lushnikova. Characteristics of Campus Traffic, Telecommunication, №4, 2017, 51-55p.
8.https://itpro.ua/product/solarwinds-netflowtraffic-analyzer-4/?tab=description
9.Wan Optimizations.http://searchenterprisewan.techtarget.co m/definition/WAN-optimization
10.A.I. Getman, E.F. Evstropov, U.V. Markin. Online network traffic analysis: an overview of applications, approaches and solutions, http://www.ispras.ru/preprints/docs/prep_28_2015.pdf
Опубликован
2021-05-14
Как цитировать
Boranbayev , S., и D. Kuanyshev. 2021. «METHODS FOR ANALYSIS OF PROBABILITY CHARACTERISTICS OF INFORMATION AND COMMUNICATION TRAFFIC ». EurasianUnionScientists, май, 26-28. https://fizmat-tech.euroasia-science.ru/index.php/Euroasia/article/view/712.
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