Title

City Backbone Network Traffic Forecasting

Journal title

International Journal of Electronics and Telecommunications

Yearbook

2021

Volume

vol. 67

Issue

No 3

Affiliation

Serikov, Tansaule : S.Seifullin Kazakh AgroTechnical University, Nur-Sultan, Kazakhstan ; Zhetpisbayeva, Аinur : S.Seifullin Kazakh AgroTechnical University, Nur-Sultan, Kazakhstan ; Аkhmediyarova, Ainur : Institute of Information and Computational Technologies, Almaty, Kazakhstan ; Mirzakulova, Sharafat : Turan University, Almaty, Kazakhstan ; Kismanova, Aigerim : S.Seifullin Kazakh AgroTechnical University, Nur-Sultan, Kazakhstan ; Tolegenova, Aray : S.Seifullin Kazakh AgroTechnical University, Nur-Sultan, Kazakhstan ; Wójcik, Waldemar : Lublin University of Technology, Poland

Authors

Serikov, Tansaule ; Zhetpisbayeva, Аinur ; Аkhmediyarova, Ainur ; Mirzakulova, Sharafat ; Kismanova, Aigerim ; Tolegenova, Aray ; Wójcik, Waldemar

Keywords

time series ; packet intensity ; Dickie Fuller test ; Kwiatkowski-Phillips Perron-Shin-Schmitt test were ; forecasting ; Integrated Moving Average Autoregression Model

Divisions of PAS

Nauki Techniczne

Coverage

319-324

Publisher

Polish Academy of Sciences Committee of Electronics and Telecommunications

Bibliography

[1] V. S. Maraev, “Time series visualization Tools in space research. Volume 1”, Research of science city, vol. 4, no. 22, 2017
[2] G.G. Kantorovich, “Analysis of temporal rows. Lecture and methodical materials”, Economic Journal of the Higher School of Economics, no. 3, 2002, pp. 379-701.
[3] M. S. Vershinina, “Analysis of assumptions about the stationarity of some temporal series”, Collection of the all-Russian conference on mathematics with international participation "IAC-2018", Barnaul: AltSU University, 2018, pp. 172-176.
[4] R. M. De Jong, C. Amsler, and P. Schmidt, “A robust version of the KPSS test, based on indicators”, J. Econometrics, vol. 137, no. 2, 2007, pp. 311–333.
[5] W. Wojcik, T. Bieganski, A, Kotyra, and A, Smolarz, "Application of forcasting algorithms in the optical fiber coal dust burner monitoring system", Proc. SPIE 3189, Technology and Applications of Light Guides, (5 August 1997); https://doi.org/10.1117/12.285618
[6] K. O. Kizbikenov, “Prognostication and temporary series: textbook by K. O. Kizbikenov”, Barnaul: AltSPU, 2017.
[7] V. S. Korolyuk, N. I. Portenko, A. V. Skorokhod, A. F. Turbin (eds.) “Handbook of probability theory and mathematical statistics”, Moscow: Nauka, 2005.
[8] G. Box, G. Jenkins, “Time Series Analysis: Forecasting and Control,” San Francisco: Holden-Day, 1970.
[9] I Rizkya, K Syahputri, R. M.Sari, I. Siregar and J. Utaminingrum, “Autoregressive Integrated Moving Average (ARIMA) Model of Forecast Demand in Distribution Centre,” Department of Industrial Engineering, Faculty of Engineering, Universitas Sumatera Utara in IOP Conf. Series: Materials Science and Engineering 598, 2019, 012071.
[10] N.Albanbay, B.Medetov, M. A. Zaks, “Statistics of Lifetimes for Transient Bursting States in Coupled Noisy Excitable Systems,” Journal of Computational and Nonlinear Dynamics. vol. 15, no. 12, 2020, https://doi.org/10.1115/1.4047867

Date

2021.09.23

Type

Article

Identifier

DOI: 10.24425/ijet.2021.135983

Source

International Journal of Electronics and Telecommunications