Accurate and Fast Replication on the Generation of Fractal Network Traffic Using Alternative Probability Models

@inproceedings{Fernandes2003AccurateAF,
  title={Accurate and Fast Replication on the Generation of Fractal Network Traffic Using Alternative Probability Models},
  author={Stenio F. L. Fernandes and Carlos Alberto Kamienski and Djamel Fawzi Hadj Sadok},
  year={2003}
}
Synthetic self-similar traffic in computer networks simulation is of imperative significance for the capturing and reproducing of actual Internet data traffic behavior. A universally used procedure for generating self-similar traffic is achieved by aggregating On/Off sources where the active (On) and idle (Off) periods exhibit heavy tailed distributions. This work analyzes the balance between accuracy and computational efficiency in generating self-similar traffic and presents important results… CONTINUE READING
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