Rapid model parameterization from traffic measurements

The utility of simulations and analysis heavily relies on good models of network traffic. While network traffic constantly changing over time, existing approaches typically take years from collecting trace, analyzing the data to finally generating and implementing models. In this paper, we describe approaches and tools that support rapid parameterization of traffic models from live network measurements. Rather than treating measured traffic as a timeseries of statistics, we utilize the traces to estimate end-user behavior and network conditions to generate applicationlevel simulation models. We also show multi-scaling analytic techniques are helpful for debugging and validating the model. To demonstrate our approaches, we develop structural source-level models for web and FTP traffic and evaluate their accuracy by comparing the outputs of simulation against the original trace. We also compare our work with existing traffic generation tool and show our approach is more flexible in capt...

• Type: Journal
• Year: 2002
• Where: TOMACS
• Authors: Kun-Chan Lan, John S. Heidemann
• Keywords: Model Parameterization, Network Traffic, Simulation, TOMACS 2002