Impact of self-similar traffic on network delay

The effect of self-similar traffic on the delay of a single queue system is studied through the use of the measured traffic and models as input process. A model-driven simulation-based method is then proposed for the computation of mean line delay in a network design. Both the hybrid-FGN and the FARIMA algorithms have been used to synthesize self-similar sample paths. The comparison results with real-traffic data sets firmly establish the usefulness of the proposed model-driven simulation-based method. A practical database method is also introduced that helps the designer to determine the parameters in network design. This approach may play an important role in network design and analysis.