Analysis and Modelling of ATM Traffic
Project Award Date: 0000-00-00
In this project, trace data from the Sprint network is analyzed and stochastic models, those based on probability, are developed to describe the ATM traffic. In the analysis of the data, the Hurst parameter is estimated. The stochastic models are used to investigate the behavior of the switch buffers using various queueing criteria.
Primary Sponsor(s): Sprint Corp