Share Email Print

Proceedings Paper

Internet traffic characterization for real-time collaborative applications
Author(s): Mehmet Celenk; Mohammad Al-Jarrah
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 2 February 2001
PDF: 12 pages
Proc. SPIE 4211, Internet Quality and Performance and Control of Network Systems, (2 February 2001); doi: 10.1117/12.417495
Show Author Affiliations
Mehmet Celenk, Ohio Univ. (United States)
Mohammad Al-Jarrah, Ohio Univ. (United States)

Published in SPIE Proceedings Vol. 4211:
Internet Quality and Performance and Control of Network Systems
Angela L. Chiu; Frank Huebner; Robert D. van der Mei, Editor(s)

© SPIE. Terms of Use
Back to Top