A complete framework for modelling and generating workload volatility of a VoD system

We propose a modelling framework, that can be used to reproduce the workload volatility of a Video on Demand (VoD) system. Based on numerical simulations, we evaluate the precision of the estimation procedure we derive to calibrate our parametric model. We also compare its performance to that of other existing models examining the goodness-of-fit of the steady state distribution and of the autocorrelation function of real workload traces. We then give each parameter of the model an interpretation in terms of the workload volatility, that enlightens on some origins of the system dynamics, like the users behaviour.