Analytical and Stochastic Modeling Techniques and Applications

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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Other Authors: Al-Begain, Khalid
Format: Book
Language:English
Published: Springer 2017
Subjects:
Stochastic processes ; Stochastic models
519.2
Online Access:http://repository.vnu.edu.vn/handle/VNU_123/24642
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Institution: Vietnam National University, Hanoi
Language: English
id oai:112.137.131.14:VNU_123-24642
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spelling oai:112.137.131.14:VNU_123-246422020-07-07T08:52:13Z Analytical and Stochastic Modeling Techniques and Applications Al-Begain, Khalid Heindl, Armin Telek, Miklós Stochastic processes ; Stochastic models 519.2 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. 2017-04-05T07:56:52Z 2017-04-05T07:56:52Z 2008 Book 9783540689805 http://repository.vnu.edu.vn/handle/VNU_123/24642 10.1007/978-3-540-68982-9 en 333 p. application/pdf Springer
institution Vietnam National University, Hanoi
building VNU Library & Information Center
country Vietnam
collection VNU Digital Repository
language English
topic Stochastic processes ; Stochastic models
519.2
spellingShingle Stochastic processes ; Stochastic models
519.2
Analytical and Stochastic Modeling Techniques and Applications
description 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.
author2 Al-Begain, Khalid
author_facet Al-Begain, Khalid
format Book
title Analytical and Stochastic Modeling Techniques and Applications
title_short Analytical and Stochastic Modeling Techniques and Applications
title_full Analytical and Stochastic Modeling Techniques and Applications
title_fullStr Analytical and Stochastic Modeling Techniques and Applications
title_full_unstemmed Analytical and Stochastic Modeling Techniques and Applications
title_sort analytical and stochastic modeling techniques and applications
publisher Springer
publishDate 2017
url http://repository.vnu.edu.vn/handle/VNU_123/24642
_version_ 1680965446467059712

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