# Fractal Analysis On Internet Traffic Time Series

Source: [Fractal Analysis On Internet Traffic Time Series](<https://www.sota2.com/research/paper/68fa1fc47a2b558e2932c1ac>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-23T19:39:46.431Z

Authors: K.B.Chong, K.Y.Choo

Published: 2002-06-05T02:17:11.000Z

## Abstract

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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/physics/0206012>)

[PDF](<https://arxiv.org/pdf/physics/0206012.pdf>)
