Conference Paper

Modeling Video Traffic from Multiplexed H.264 Videoconference Streams

Dept. of Electron. & Comput. Eng., Tech. Univ. of Crete, Chania
DOI: 10.1109/GLOCOM.2008.ECP.289 Conference: Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Source: IEEE Xplore


Due to the burstiness of video traffic, video modeling is very important in order to evaluate the performance of future wired and wireless networks. In this paper, we investigate the possibility of modeling H.264 videoconference traffic with well-known distributions. Our results regarding the behavior of single videoconference traces provide significant insight and help to build a Discrete Autoregressive (DAR(1)) model to capture the behavior of multiplexed H.264 videoconference movies from VBR coders.

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Available from: Polychronis Koutsakis
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    • "A much shorter version of this work has been presented in [30]. The main differences between this work and [30] are that in the current work we validate our model by conducting a queueing performance study and we extend our results by studying and modeling more video traces. In particular, our initial study was conducted using 18 video traces (i.e., ''Sony Demo " and ''NBC News " , in several formats) while in this paper we have included also the results taken from two additional traces (i.e., ''From Mars to China " and ''Horizon " ). "
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    ABSTRACT: In this correspondence, we initially investigate the statistical behavior of bursty video traffic originating from single H.264/AVC streams, by modeling it with well-known distributions. Our results help to build a Discrete Autoregressive model which captures well the behavior of multiplexed H.264/AVC videoconference sources.
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    ABSTRACT: Network designers face a challenging problem when trying to control the traffic entered into a wireless cellular network. The reason is the rapidly growing number of multimedia applications, combined with user mobility. Additionally, the existence of multiple cellular providers leads to strong competition among them. Providers need to use efficient resource management schemes in order to keep existing clients satisfied and attract new customers, so that they can increase their revenue. In this work, we use traffic modeling for H.264 videoconference traffic in the implementation of a new Call Admission Control mechanism which makes decisions on the possible acceptance of a video call into the network not only based on the predicted bandwidth that users will need, but also on the revenue that the provider will make when degrading current users in order to accommodate new ones. Our mechanism is shown, via an extensive simulation study, to provide high Quality of Service (QoS) to wireless H.264 videoconference users.
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