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- W1658713827 abstract "We propose to model network traffic using a probabilistic context-free grammar, which is based on the multi-type branching process. Since this research is in its very early stages, the purpose of this paper is merely to suggest a justification for this model. This paper demonstrates how the lengths of the strings generated by one simple example of a probabilistic context-free grammar have first-order statistics with the characteristic tail that is observed in real network traffic. The paper also shows that the lengths of the strings generated by corresponding Poisson or Markov models fall short of having this long tailed distribution." @default.
- W1658713827 created "2016-06-24" @default.
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- W1658713827 date "2002-11-08" @default.
- W1658713827 modified "2023-09-25" @default.
- W1658713827 title "Approaching long-tailed distribution by increasing the process complexity" @default.
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- W1658713827 doi "https://doi.org/10.1109/glocom.2000.892098" @default.
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