The main task of these experiments is to provide an experimental proof of the Central Limit Theorem. These models and experiments with such models also enhance the learner’s understanding of pseudo- and quasi-random number generators and the exponential distribution. That could provide basic ideas for more advanced experiments with the model of queueing systems.
link: http://downloads.hindawi.com/journals/sp/2014/164306.pdf
For example random.randint(a, b) returns a random integer N such that a <= N <= b and random.expovariate(lambd) returns exponentially distributed random numbers with the parameter ‘lambd’
An overall queueing system could be characterized by three main components: the arrival process, the service mechanism and the queue discipline. Arrivals may come from one or several limited or unlimited sources. The arrival process describes how customers arrive to the system. We denote by αi the interarrival time between the arrivals of the (i−1) and ith customer, the expected inter-arrival time (or mean) by E(α) and the arrival frequency by λ = 1 / E(α).