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Empirical Testing Of The Infinite Source Poisson Data Traffic Model
2003
Stochastic Models
The infinite source Poisson model is a fluid queue approximation of network data transmission that assumes that sources begin constant rate transmissions of data at Poisson time points for random lengths of time. This model has been a popular one as analysts attempt to provide explanations for observed features in telecommunications data such as self-similarity, long range dependence and heavy tails. We survey some features of this model in cases where transmission length distributions have (a)
doi:10.1081/stm-120020386
fatcat:pprbcgdoerf6xogdgswxpi3ag4