Development of a Large-scale ATM Network Simulation Environment
Project Award Date: 0000-00-00
Techniques to predict the performance of large Asynchronous Transfer Mode (ATM) systems for design, testing, and concept validation are currently lacking. Analytic techniques do not have the required flexibility, and current simulation techniques are too computationally intensive. Parallel and distributed processing techniques, however, do hold out the potential for overcoming the computational deficiencies of today's network simulation techniques. The University of Kansas Telecommunications and Information Sciences Laboratory has been active in the area of communications network simulation for the past ten years. TISL researchers have developed computationally efficient simulation techniques and have been involved in the development of ATM network models. In addition, the group has conducted research on traffic models and developed tools to collect traffic and performance information from large ATM networks. These tools are currently being applied to the MAGIC network. We are assisting the team (NRL, Sandia, and SAIC) Sprint has formed to develop a Large-scale ATM Network Simulation Environment (LANSE).
Primary Sponsor(s): Sprint Corp.