2002/06/05 by K. B. Chong, Chong, K. B., K. Y. Choo +1
Computer Science · Economics, Econometrics and Finance · Physics and Astronomy · #Complex Network Analysis Techniques #Complex Systems and Time Series Analysis #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an) #Time Series Analysis and Forecasting #physics.comp-ph #physics.data-an
paper · pdf · doi:10.48550/arxiv.physics/0206012
10 pages, 6 figures
openalex publication_date 2002/06/05 · arxiv created 2003/06/25 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Fractal behavior and long-range dependence have been observed in tele-traffic measurement and characterization. In this paper we show results of application of the fractal analysis to internet traffic via various methods. Our result demonstrate that the internet traffic exhibits self-similarity. Time-scale analysis show to be an effective way to characterize the local irregularity. Based on the result of this study, these two Internet time series exhibit fractal characteristic with long-range dependence.