Internet traffic characterization for real-time collaborative applications

Mehmet Celenk; Mohammad Al-Jarrah

doi:10.1117/12.417495

2 February 2001 Internet traffic characterization for real-time collaborative applications

Mehmet Celenk, Mohammad Al-Jarrah

Proceedings Volume 4211, Internet Quality and Performance and Control of Network Systems; (2001) https://doi.org/10.1117/12.417495
Event: Information Technologies 2000, 2000, Boston, MA, United States

Abstract

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.

Citation Download Citation

Mehmet Celenk and Mohammad Al-Jarrah "Internet traffic characterization for real-time collaborative applications", Proc. SPIE 4211, Internet Quality and Performance and Control of Network Systems, (2 February 2001); https://doi.org/10.1117/12.417495

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