Demonstrating a versatile model for VoD buzz workload in a large scale distributed network

In previous works, we proposed a stochastic model able to reproduce buzz dynamics in a Video on Demand (VoD) workload. We also derived an estimation procedure to calibrate all the model's parameter and evaluated the performance of our estimator on synthetic time series. We showed how can this procedure be applied to fit real workload traces. In this work we demonstrate the model on Grid'5000 with an aim of conducting real-life experiments. Grid'5000 is a highly reconfigurable, controllable and monitorable experimental platform for conducting experiments on large scale parallel and distributed systems. Our results show that the implemented model matches the theoretical model in terms of the mean value and the steady state distribution. We believe this demonstration, by emulating a real world VoD system, can provide data that can serve as an input to frame efficient resource management policies.