Internet traffic characterization for real-time collaborative applications
Mehmet Çelenk, Mohammad Ahmad Al-Jarrah · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
In this paper, a probabilistic delay model is proposed for the characterization of time-varying nature of the data traffic in the Internet. Connectionist delay representation of the network traffic is derived by considering a videoconference session among a group of N participants connected via various LAN's or randomly through the Internet. Connections among the collaborative participants are represented by their end-to-end network delays involving the physical transmission delay between two stations and the delay due to network traffic. For a network of N stations, this model becomes an N2 X N2 correlation matrix. When normalized by the delay means and variances of the individual inks, it leads to the N2 X N2 square matrix of delay cross-correlation coefficients with values varying in the range of [-1,1] independent of scale changes in the correlation amplitude. In the experimental study, three LAN's are selected as the test-bed to measure the random traffic in the Internet. Connections among the different workstations of these three physically separate LAN's are established through the Internet for a long period of observation time. Ensemble averaging over the measurement period dictates that the delay correlation matrix tends to be constant for the selected networks.