A Practical Model for VBR Video Traffic with Applications

Borsos, Tamas

doi:10.1007/3-540-45508-6_7

Cited by 7 publications

(3 citation statements)

References 16 publications

(22 reference statements)

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“…Additionally, several authors suggest the concept of an activity regime, which is located in between the scene and the GoP layers [1,2,4]. For the video traces employed, Baey observes that only a small fraction of a video stream corresponding to high activity is responsible for delays, while the major part can be transmitted without delays (low activity phase).…”

Section: Video Trafficmentioning

confidence: 99%

Parameter estimation and optimization techniques for discrete-time semi-Markov models of H.264/AVC video traffic

2008

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We investigate a variety of known and new approaches for the estimation of the parameters of discretetime semi-Markovian traffic models. We focus on modeling video traffic, since the accurate representation of its longterm autocorrelation is a challenge to the parameter estimation methods. The modeling techniques are applied to sample H.264/AVC-encoded video traces. We study their ability to reflect the autocorrelation and variability of the original traffic and also the delay probabilities of a resulting SMP/GI/1 queueing system. The delay probabilities are determined both by simulation and verified analysis of the queue.

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Section: Video Trafficmentioning

confidence: 99%

Parameter estimation and optimization techniques for discrete-time semi-Markov models of H.264/AVC video traffic

2008

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“…It was observed that the bandwidth requirements of streamed video remains relatively constant in 10-30 second intervals, but can vary significantly between these intervals [19] due to factors such as variable rate compression. Our experimental results in Section V reflect this observation and demonstrate the performance of our protocol both for the case when the demands remain constant, and when the sources change them.…”

Section: Inelastic Traffic Demandsmentioning

confidence: 99%

Multipath protocol for delay-sensitive traffic

Javed

Suchara

et al. 2009

2009 First International Communication Systems and Networks and Workshops

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Abstract-Delay-sensitive Internet traffic, such as live streaming video, voice over IP, and multimedia teleconferencing, requires low end-to-end delay in order to maintain its interactive and streaming nature. In recent years, the popularity of delay-sensitive applications has been rapidly growing. This paper provides a protocol that minimizes the end-to-end delay experienced by inelastic traffic. We take a known convex optimization formulation of the problem and use an optimization decomposition to derive a simple distributed protocol that provably converges to the optimum. Through the use of multipath routing, our protocol can achieve optimal load balancing as well as increased robustness. By carrying out packet level simulations with realistic topologies, feedback delays, link capacities, and traffic loads, we show that our distributed protocol is adaptive and robust. Our results demonstrate that the protocol performs significantly better than other techniques such as shortest path routing or equal splitting among multiple paths.

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“…Furthermore, we recognized that each video sequence differs from others, which makes modeling of these types of traffic sources very difficult. Several researchers took our traces and tried to build traffic models from the traces, e.g., [3,13]. We encoded each video sequence with different settings such as the quality or the resulting bit rate to offer other researchers a large library satisfying their needs.…”

Section: Introductionmentioning

confidence: 99%

Video and audio trace files of pre-encoded video content for network performance measurements

Fitzek

Zorzi

Seeling

et al.

2003 International Symposium on VLSI Technology, Systems and Applications. Proceedings of Technical Papers. (IEEE Cat. No.03TH8

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Video services are expected to account for a large portion of the traffic in future wireless networks. Therefore realistic traffic sources are needed to investigate the network performance of future communication protocols. In our previous work we focused on video services for 3G networks. We provided a publicly available library of frame size traces of long MPEG-4 and H.263 encoded videos in the QCIF format resulting in low bandwidth video streams. These traces can be used for the simulation of 3G networks. Some future communication systems, such as the WLAN systems, offer high data rates and therefore high quality video can be transmitted over such higher speed networks. In this paper we present an addition to our existing trace library. For this addition we collected over 100 pre-encoded video sequences from the WEB, generated the trace files, and conducted a thorough statistical evaluation. Because the pre-encoded video sequences are encoded by different users they differ in the video settings in terms of codec, quality, format, and length. The advantage of user diversity for encoding is that this reflects very well the traffic situation in upcoming WLANs. Thus, the new traces are very suitable for the network performance evaluation of future WLANs.

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A Practical Model for VBR Video Traffic with Applications

Cited by 7 publications

References 16 publications

Parameter estimation and optimization techniques for discrete-time semi-Markov models of H.264/AVC video traffic

Parameter estimation and optimization techniques for discrete-time semi-Markov models of H.264/AVC video traffic

Multipath protocol for delay-sensitive traffic

Video and audio trace files of pre-encoded video content for network performance measurements

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