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.
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Fiems, D., Inghelbrecht, V., Steyaert, B., Bruneel, H. (2008). Markovian Characterisation of H.264/SVC Scalable Video. In: Al-Begain, K., Heindl, A., Telek, M. (eds) Analytical and Stochastic Modeling Techniques and Applications. ASMTA 2008. Lecture Notes in Computer Science, vol 5055. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68982-9_1
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DOI: https://doi.org/10.1007/978-3-540-68982-9_1
Publisher Name: Springer, Berlin, Heidelberg
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