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A new model for video traffic originating from multiplexed MPEG4 videoconference streams
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A new model for video traffic originating from multiplexed MPEG4 videoconference streams   (Citations: 14)
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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 first study the behavior of single MPEG-4 videoconference traces and investigate the possibility of modeling this type of traffic with well-known distributions. Our results show that the Pearson type V distribution is the best fit among all the examined distributions, for all the traces under study. However, the behavior of single videoconference traces can never be perfectly “captured” by a distribution generating independently frame sizes according to a declared mean and standard deviation, due to the high autocorrelation of videoconference; therefore none of the fitting attempts can achieve high accuracy. Still, our results on attempting to model single MPEG-4 videoconference sources provide significant insight and help to build a Discrete Autoregressive (DAR(1)) model to “capture” the behavior of multiplexed MPEG-4 videoconference movies from VBR coders. Based on our results and on comparisons with other existing approaches, we discuss the contribution of our proposed method to the field.
Journal: Performance Evaluation - PE , vol. 65, no. 1, pp. 51-70, 2008
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    • ...recent work [19, 20], which accurately capture the behavior of multiplexed H.264 and MPEG-4 videoconference movies, respectively...
    • ...(b) There is controversy in the literature regarding the prevalence of Long Range Dependence (LRD) in Variable Bit Rate (VBR) video traffic [40‐42], but in the specific case of MPEG-encoded video, research has shown that LRD is important [43, 44]; our own work in [20] on MPEG-4 video traffic modeling confirmed these results, and we reached similar conclusions in [19] for H.264 traffic modeling...
    • ...In [20] we have studied four different long sequences of MPEG-4 encoded videos, from the publicly available library of frame size traces of long MPEG-4 and H.263 encoded videos provided by the Telecommunication Networks Group at the Technical University of Berlin [50, 51]...
    • ...We then proceeded in [20] with using the Pearson V distribution in building a Discrete Autoregressive Model of order 1 (DAR(1) model) [53‐55] for each video frame type, based only on the above parameters which are either known at call set-up time or can be measured without introducing much complexity in the network...
    • ...The very good fits in our results in [20] have shown that the superposition of the actual traces can be modeled well by a respective superposition of data produced by our modeling approach...
    • ...It needs to be emphasized that, as explained in [19, 20], our H.264 and MPEG-4 video traffic models achieve very high accuracy in modeling B and P frames’ sizes, and...

    Polychronis Koutsakis. Using traffic prediction and estimation of provider revenue for a join...

    • ...7.1.5.2 H.264 video traffic modeling Similarly to our recent work on modeling H.263 [32] and MPEG-4 [33] videoconference traffic, we focused on the accurate fitting of the marginal (stationary) distribution of video frame sizes of single video traces...
    • ...For video traffic of different encoding, the efficiency of the call admission control mechanism can be ensured with the use of an accurate model (e.g., the work proposed by our group in [32, 33] for H.263 and MPEG-4 traffic)...

    Polychronis Koutsakis, et al. A new bandwidth allocation mechanism for next generation wireless cell...

    • ...The most common models used are autoregressive models [1], [2], [3], Transform-Expand-Sample (TES) models [4], [5], [6], discrete Markovian models [7], [8], [9] which include also Markovian fluid models [10], [11], [12]...

    Wassim Abbessi, et al. GoP-based fluid Markovian modelling of video traffic

    • ...Although widely used, “equivalent bandwidth”-based schemes are known to significantly overestimate the sources’ actual bandwidth requirements and therefore to provide quite conservative CAC mechanisms, which fail to use efficiently all the available bandwidth [7, 9]. Instead, we proposed the use of our modeling approach [16, 17] for traffic originating from MPEG-4 and H.263 videoconference sources, in order to propose a new CAC mechanism ...
    • ...We have investigated the possibility of modeling the traces with a number of well-known distributions (gamma, lognormal, log-logistic, exponential, geometric, Weibull, Pearson V). Our results (derived with the use of Q-Q plots [10], Kolmogorov-Smirnov (KS) tests [10] and Kullback-Leibler (KL) tests [8]) have shown that, similarly to our work in [16] on modeling MPEG-4 videoconference traffic, the best fit among these distributions for ...
    • ...The reason for which our mechanism in [2] excelled in comparison to the “equivalent bandwidth” approach was the use of the accurate MPEG-4 videoconference traffic model from [16] in order to precompute various traffic scenarios and combine that knowledge with online simulation, in order to be able to make accurate decisions on the acceptance or rejection of a new call...
    • ...The reason for this is the slight overestimation of the I frames size with the use of the DAR model and are explained in our modeling work in [16, 18]...

    Polychronis Koutsakis. Call Admission Control for wireless videoconference traffic based on t...

    • ...Considering the importance of video application, how to characterize VBR video traffic has raised great research attention [1] [2] [3]...
    • ...Aggelos proposed a model for video traffic originating from multiplexed MPEG-4 videoconference streams [2]...

    Xiaohui Chen, et al. Impact of Noise on Digital Video Traffic Characteristics

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