conference paper
Efficient fractional Gaussian noise generation using the spatial renewal process
Tarkan Taralpa, Michael Devetsikiotisa, Ioannis Lambadaris
- aCarleton University, Ottawa, ON, CA
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Abstract
An efficient and easy technique to generate fractional Gaussian noise traffic based on the spatial renewal process is developed and demonstrated. The synthetically generated trace reproduces the desired marginal, autocorrelation and Hurst parameters well. The model is particularly suitable for use in the discrete-event simulation of queueing systems involving VBR compressed video and aggregated LAN traffic.