The GBAR source model for VBR videoconferences
IEEE/ACM Transactions on Networking (TON)
Workload models of VBR video traffic and their use in resource allocation policies
IEEE/ACM Transactions on Networking (TON)
Modeling one- and two-layer variable bit rate video
IEEE/ACM Transactions on Networking (TON)
Statistical properties of MPEG video traffic and their impact on traffic modeling in ATM systems
LCN '95 Proceedings of the 20th Annual IEEE Conference on Local Computer Networks
Statistical characteristics and multiplexing of MPEG streams
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 2)-Volume - Volume 2
Modeling full-length video using Markov-modulated Gamma-based framework
IEEE/ACM Transactions on Networking (TON)
Computer Networks: The International Journal of Computer and Telecommunications Networking
IEEE Communications Surveys & Tutorials
Bandwidth allocation strategies for transporting variable bit rate video traffic
IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
Statistical analysis and simulation study of video teleconference traffic in ATM networks
IEEE Transactions on Circuits and Systems for Video Technology
Traffic and quality characterization of the H.264/AVC scalable video coding extension
Advances in Multimedia
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Real-time variable bit rate (VBR) video is increasingly dominating the bandwidth use of broadband networks. Many videos can be simultaneously transmitted over a channel in a broadband network. Given the usual capacities of communication links in use for transmission, the number of videos simultaneously transmitted over a broadband communication link for commercial purposes is not too large (not in thousands). Modeling relatively fewer number (less than a hundred) of videos is difficult because the use of asymptotic models for multiplexed videos cannot be justified. Although the literature has plenty of acceptable models for bandwidth requirements of single video traffic as well as of asymptotic multiplexed traffic, models for intermediate number of videos, which are of practical relevance, have remained relatively unexplored. This paper presents multinomial models for bandwidth estimation of both homogeneous and heterogeneous multiplexed videos using a Markov-modulated Gamma-based single video traffic model. An appropriate combination of exact and approximation schemes is used to contain computational overhead. Apart from bandwidth estimation, the model also offers a fast and accurate multiplexing gain estimation that may be used in call admission control (CAC) algorithms. Experimental results indicate the models have a high degree of accuracy.