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Abstract
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Traffic characteristics in communication systems have changed massively in the past. However, these changes are ongoing as this is a continuous process caused by constantly changing technologies, services and usage patterns. Simultaneously, research enabled a refined understanding of traffic characteristics. An important and traffic invariant characteristic is self-similarity and long range dependence. This is also present in the Internet backbone, impacting particularly performance evaluation studies due to its significantly slower decrease of correlations/ variability. Therefore, it essential that traffic models reflect the relevant characteristics of real traffic appearing in current networks and provide additional flexibility for further changes. Lindenmayer System (L-System) based traffic models provide such a flexibility. In this paper, we extend the L-System model to the bit-rate level. We show the good modelling properties of the extended L-System model on basis of artificial traces and real traces of a broad-band user access rate scenario. We describe the developed modifications of the fitting process to accommodate the model extension
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Reference entry
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Sass, D.
Traffic Modelling with stochastic Lindenmayer Systems
Beiträge zur 9. ITG Fachtagung Photonic Networks, Leipzig, April 2008, pp. 237-244
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