Time Series Analysis of Computer Network Traffic in a Dedicated Link Aggregation
Abstract
Fractal behavior and long-range dependence are widely observed in measurements and characterization of traffic flow in high-speed computer networks of different technologies and coverage levels. This paper presents the results obtained when applying fractal analysis techniques on a time series obtained from traffic captures coming from an application server connected to the Internet through a high-speed link. The results obtained show that traffic flow in the dedicated high-speed network link have fractal behavior when the Hurst exponent is in the range of 0.5, 1, the fractal dimension between 1, 1.5, and the correlation coefficient between -0.5, 0. Based on these results, it is ideal to characterize both the singularities of the traffic and its impulsiveness during a fractal analysis of temporal scales. Finally, based on the results of the time series analyses, the fact that the traffic flows of current computer networks exhibit fractal behavior with a long-range dependency is reaffirmed.
Keywords
Cite
@article{arxiv.2107.05484,
title = {Time Series Analysis of Computer Network Traffic in a Dedicated Link Aggregation},
author = {G. Millán and G. Lefranc and R. Osorio-Comparán and V. Lomas-Barrie},
journal= {arXiv preprint arXiv:2107.05484},
year = {2021}
}
Comments
7 pages, 2 figures, 6 tables, preprint for IEEE Transactions on Information Theory 2021