Nonlinear analysis of network traffic

DOI10.1016/S0960-0779(01)00253-3zbMath0993.90019OpenAlexW2019169549MaRDI QIDQ1610472

P. G. Akishin, I. Drossinos, P. Akritas, A. Yu. Bonushkina, P. V. Zrelov, V. V. Korenkov, Yu. L. Kalinovsky, Ioannis E. Antoniou, Valery V. Ivanov

Publication date: 22 August 2002

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0960-0779(01)00253-3

zbMATH Keywords

correlation lengthnonlinear time seriesembedding dimensionprincipal components analysistraffic measurementsGrassberger-Procaccia algorithmmedium size local area networktraffic series

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Communication networks in operations research (90B18) Traffic problems in operations research (90B20) Time series analysis of dynamical systems (37M10)

Related Items (5)

Nonlinear analysis of wireless LAN traffic ⋮ Using a Volterra system model to analyze nonlinear response in video-packet transmission over IP networks ⋮ KS-entropy-based analysis of IP-network traffic in terms of time variation of dynamical properties ⋮ Wavelet filtering of network traffic measurements ⋮ On the log-normal distribution of network traffic

Uses Software

• JETNET

Cites Work

• Identification and prediction of discrete chaotic maps applying a Chebyshev neural network
• Measuring the strangeness of strange attractors
• Extracting qualitative dynamics from experimental data
• Principal component analysis.
• Multiple time scale congestion control for self-similar network traffic
• A theory of correlation dimension for stationary time series
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