abstract:In probability and statistics, a Bernoulli process is a finite or infinite sequence of binary random variables, so it is a discrete-time stochastic process that takes only two values, canonically 0 and 1. The component Bernoulli variables Xi are identical and independent.
The conventionalmodelsare mostlybased onPoisson modelorBernoulliprocess, buttheactivityofthese models is not consistent with the measuredresultsof the realnetworks.