H. Saitio. Teletraffic Technologies in ATM Networks. Artech House, 1994.

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This paper is cited in the following contexts:
The Simulation and Control of ATM Networks - Bates (1995)   (Correct)

....of ATM networks has been essential in gaining understands into the networks behaviour. The ability to test control methods using software tools (e.g. 14] and [15] reduces cost and development time. Unfortunately due to the stochastic nature of ATM traffic such simulation is difficult. Saito[16] enters into a discussion on the nature of ATM traffic as does Chang[17] Lucantoni et al. 18] published an entire paper reviewing VBR traffic models and carrying out evaluations of their performance. The complexity of the simulation is based on the fact that VBR traffic usually possesses a ....

....a probability distribution function. A good introduction to Markovian mathematics and stochastic theory in general can be found in Bailey[19] while their appliance to modelling is explored in Maki and Thompson[20] A review of the models used for VBR voice and video services is presented in Saitio[16]. A popular model is the Markov Modulated Poisson Process (MMPP) The long tail on the PDF of a Poisson process makes it suitable for modelling the rare peaks that a bursty source can produce and for this reason the MMPP is often used in papers to validate results obtained by alternative methods. ....

H. Saitio. Teletraffic Technologies in ATM Networks. Artech House, 1994.

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