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...
محفوظ في:
| مؤلفون آخرون: | |
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| التنسيق: | كتاب |
| اللغة: | English |
| منشور في: |
Springer
2017
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://repository.vnu.edu.vn/handle/VNU_123/24642 |
| الوسوم: |
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| الملخص: | 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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