Daniel Moss dmoss@iol.unh.edu
Faculty advisor: Radim Bartos
With the increased use of internet-based applications requiring low latency and high bandwidth, the performance demands of the last mile network continue to grow. Additionally, the highly variant deployment scenarios of these technologies have a high impact on their performance, creating difficult to replicate environments for application developers to test in, often requiring expensive and difficult to obtain equipment. This thesis attempts to model the networking performance of DSL using the open source tool NetEm. This is done by studying the latency performance of DSL connections under a range of conditions and configurations to quantify the performance. That performance data can then be used to create delay models for using NetEm's custom distribution delay models, providing a powerful tool to test devices and software under simulated DSL conditions.
This research was partially funded and supported by Google, Inc.