Using Markovian models to replicate real ATM traffics

Among the more commonly employed models for performance analysis of ATM networks, e.g. to dimension buffers in switches, we find Markov modulated Poisson processes MMPPs) and Markov modulated Bernoulli processes (MMBPs). These models are often used with the only motivation that they are capable of producing bursty traffic. Although this is true in a general sense, little is known about whether that capability extends to the particular case of real traffics.

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