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This paper studies and analyses the behavior of the Long-Range Dependence innetwork traffic after classifying traffic flows in aggregated time series.Following Differentiated Services architecture principles, the generic Qualityof Service applications that requirements and use the transport controlprotocol, a basic classification criterion of time series is established. Usingthe fractal theory, the resulting time series are analyzed. The Hurst exponentis estimated and used as a measure of traffic burstiness and Long-RangeDependency in each traffic class. The traffic volume per class is alsomeasured. The study uses traffic traces collected at the core switch at theElectric Engineering Department at Universidad de Santiago de Chile indifferent periods of network activity.

On the LRD of the Aggregated Traffic Flows in High-Speed Computer Networks