loading page

Time Series Analysis of Computer Network Traffic in a Dedicated Link Aggregation
  • +1
  • Ginno Millán ,
  • Gastón Lefranc ,
  • Román Osorio-Comparán ,
  • Víctor Lomas-Barrie
Ginno Millán
Universidad de Santiago de Chile

Corresponding Author:[email protected]

Author Profile
Gastón Lefranc
Author Profile
Román Osorio-Comparán
Author Profile
Víctor Lomas-Barrie
Author Profile


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.