  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.
