Abstract
The cable and telephone industries have already begun constructing the information superhighway. The network capacity planning for data services, however, cannot start until a realistic traffic model is developed based on actual traffic data. Since the future data services are perceived to resemble today's World Wide Web (WWW) browsers, we propose in this paper a traffic model for the access network based on today's WWW traffic. The model is an on-off two-state model with the on period consisting of a sequence of document transmission requests from an individual subscriber. Actual traffic data with over 20000 data points was used to fit distributions to the model. The on and off periods are found to be of heavy-tailed Weibull and Pareto distributions, respectively. The inter-arrival times of requests within the on periods can be described with another Weibull distribution. This empirical model can be used as a realistic basis for network capacity planning for the future access networks.
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