IV. CONCLUSION - Paper Title (use style: paper title)

IV. CONCLUSION
Estimates of the parameters of traffic transmitted over
the channels during the
period of the highest load, which are often impossible to determine, represent great practical
interest. Therefore, knowing the distribution laws that
real traffic is subject to, and using
Lindley's spectral solution method, it is possible to determine the average packet delay time
in the network. Consequently, the constantly changing nature of the traffic does not give the
opportunity to adequately evaluate it with the help of simulation modeling, which does not
REFERENCES
1-
Leland W.E., Taqqu M.S. On the selfsimilar nature of enternet traffic // Proc. ACM SIG
COMM'93. San Fransisco, CA. 1993. P. 183–193.
2-
[2] Tapacov B.H. Issledovanie sistem massovogo obslujivaniya s gipepeksponensialnimi
vxodnimi raspredeleniyami // Problemi peredachi informasii. 2016. № 1. S. 16–26.
3-
[3] Kaptashevckiy I.B., Caprikin A.B. Analiz vremeni ojidaniya zayavki v ocheredi dlya
sistemi massovogo obclujivaniya obshego vida // T- Comm: Telekommynikasii i
tpancport. 2018. T. 12. № 2. S. 4–10.
4-
Opredelenie xarakteristik kachestva QoS obslujivaniya samopodobnogo trafika dlya SMO
W/M/1/ I.V.Strelovskaya [i dr.]. SP6.: 2016. S. 31–33.
5-
Kartashevskiy I.V., Buranova M.A., Vliyanie mexanizmov upravleniz QoS na pokazateli
kachestva obslujivaniya multimediynogo trafika seti Internet // // T-Comm:
Telekommynikasii i tpancport. 2013. № 8. S. 54– 60.
6-
Klymash M., Beshley M., Stryhaluk B.M. System for increasing
quality of service of
multimedia data in convergent networ ks // First International Scientific-Practical Conference
Problems of Infocommunications Science and Technology. 2014. P. 63–66.
7-
Ushanev K.V., Makarenko S.I. Preobrozavanie strukturi trafika s uchotom trebovaniy po
kachestvu yego obslujivaniya// Radiotexnicheskie I telekommunikatsionnie sistemi. 2015.
№ 2. S. 74–84.
8-
Reshenie upravleniya Lindli spektralnim metodom dlya sistemi massovogo obslujivaniya
obshego/ V.G. Kartashevskiy [i dr.] // Elektrosvyaz. 2014. № 11. S. 48–50.
9-
Ageev D.B., Ignatenko A.A., Kopilev A.N. Metodika opredeleniya parametrov potokov
na raznix uchastkax multiservisnoy telekommunikatsionnoy
seti s uchotom effekta
samopodobiya// Problemi telekommunikatsii. 2011. № 3. S. 18–37.
10-
Downey A. Lognormal and Pareto distributions in the Internet // Computer
Communications. 2005. Vol. 28. № 7. P. 790–801.
11-
Dang T.D., Sonkoly B., Molnar S. Fractal analysis and modeling of VoIP traffic // 11th
International Telecommunications Network Strategy and Planning Symposium,
NETWORKS 2004. 2004. P. 217–222.
12-
Increasing the efficiency of real-time content delivery by
improving the technology of
priority assignment and processing of IP traffic / M. Beshley [et al.] // Smart Computing
Review. 2015. Vol. 5. № 2. P. 1–13.
13-
Golubinsev A.V., Myasnikova A.I., Legkov K.E. Arxitekturnie prinsipi organizatsii
avtomatizirovannix sistem upravleniya infokommunikatsionnimi setyami spetsialnogo
naznacheniya// naukoemkie texnologii v kosmicheskix issledovaniyax Zemli. 2015. T. 7. №
4. S. 16–23.
14-
Ushanev K.V. Immitatsionnie modeli sistemi massovogo obslujivanie Pa/M/1, H2/M/1 I
issledovanie na ix osnove kachestva obslujivaniyz so slojnoy strukturoy //
Sistemi
upravleniya, svyazi i bezopastnosti.. 2015. № 4. S. 217–251.
15-
Tarasov V.N., Kartashevskiy I.V. Sposobi approksimatsi vxodnix raspredeleniy dlya
sistemi G/G/1 I analiz poluchennix rezultatov// Sistemi upravleniya I informatsionnie
texnologii. 2015. № 3.1. S. 182–185.