Characterizing Traffic in a TeleLearning Environment
Traffic characterization of high-speed networks has only recently
been shown to be promising due to the presence of the traffic
"invariants" detected in traffic traces.
Even with the availability of the emerging traffic models,
it is not yet known what impact they will play on designing and
provisioning data networks, and on selecting optimal connection admission
and congestion control algorithms. The goal of this research is to answer
some of these questions.
Our project goal is to characterize, model, and analyze
traffic traces collected and measured from high-speed
communication networks, such as the SFU's TeleLearning NCE
and the Internet World Wide Web servers.
Today's multimedia applications, such as those used in the TeleLearning
environment, produce complex traffic patterns that result from the
statistically multiplexed data, voice, image, and video patterns.
For networks carrying such diverse applications, traditional traffic models
have proved inadequate and incapable of capturing essential characteristics
of the traffic patterns. In particular, we are interested in the analysis
of collected data, which involves new statistical approaches and the search
for traffic invariants such as self-similarity and long-range dependencies,
as well as the understanding of underlying dynamical behavior of the complex
system represented by collected data.
Collection of traffic traces from the TeleLearning network and their
subsequent analysis will help to better understand the current performance
issues of the TeleLearning research network.
Better understanding of network usage, through collecting
and monitoring of its traffic data, will help to choose appropriate network
architecture and the design of protocols for video applications. Another
important and useful outcome will be a collection of usage statistics
and traffic from a real-life working network with multimedia applications.
Multimedia Systems Architecture for Multimedia
Velibor Markovski and Ljiljana Trajkovic
School of Engineering Science, Simon Fraser University