Abstract. In this paper, a multivariate Markovian traffic model is proposed to characterise H.264/SVC scalable video traces. Parametrisation by a genetic algorithm results in models with a limited state space which accurately capture both the temporal and the inter-layer correlation of the traces. A simulation study further shows that the model is capable of predicting performance of video streaming in various networking scenarios.
Fiems et al. REF have proposed a multivariate Markovian traffic model to characterize H.264/SVC scalable video traces.
Markovian Characterisation of H.264/SVC Scalable Video
ASMTA
Computer Science