Date of Award

Fall 12-1-2000

Document Type

Thesis

Degree Name

Master of Science in Information Systems (MSIS)

First Advisor

Stephen Krebsbach

Second Advisor

Minhua Wang

Third Advisor

Terry Dennis

Abstract

This project and the accompanying case studies attempt to investigate and implement new network technologies in the realm of Traffic Engineering. Traffic Engineering provides a set of tools for network engineers and administrators that allow them to manipulate the network's behavior in a manner that better suites the needs of the users and their applications. There is a legitimate business case for Traffic Engineering. New applications and uses for the Internet are causing a shift in the type of traffic that was once common. This shift includes new traffic patterns that are generated by services like voice and video, peer-to­peer applications, and real-time data services. Left alone, the Internet may have difficulty supporting these new applications. Applications currently consider the network 'dumb' or incapable of reliable data transfer. Traffic Engineering techniques permit the owners of the network to make it smarter, by which has the potential to reduce cost, increase performance, and add value to the network. Traffic Engineering technologies were implemented on real-world next-generation Internet 2 networks owned and operated by midwestern universities for research and education. Traffic Engineering techniques like Quality of Service and Multi Protocol Label Switching were investigated, and if possible implemented, tested and measured on the Great Plains Network and the South Dakota Research and Education Network.

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