Analytical and Stochastic Modeling Techniques and Applications
In this paper, a multivariate Markovian traffic model is pro-posed 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 simulat...
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| 其他作者: | |
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| 格式: | 圖書 |
| 語言: | English |
| 出版: |
Springer
2017
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| 主題: | |
| 在線閱讀: | http://repository.vnu.edu.vn/handle/VNU_123/24642 |
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| 機構: | Vietnam National University, Hanoi |
| 語言: | English |
| 總結: | In this paper, a multivariate Markovian traffic model is pro-posed 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 capa-ble of predicting performance of video streaming in various networking scenarios. |
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