Generative workload models of Internet traffic

With the World Wide Web (WWW) traffic being the fastest growing portion of load on the Internet, describing and characterizing this workload is a central issue for any performance evaluation study. We present a probabilistic attributed context free grammar (PACFG) as a model for translating from a user oriented view of the workload (namely the conversations made within WWW browser windows) to the methods submitted to the Web servers (respectively to a proxy server). The characterization at this lower level is essential for estimating the traffic on the net and are thus the starting point for evaluations of net traffic