Methods for performance evaluation of VBR video traffic models
IEEE/ACM Transactions on Networking (TON)
A traffic for MPEG-coded VBR streams
Proceedings of the 1995 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
What are the implications of long-range dependence for VBR-video traffic engineering?
IEEE/ACM Transactions on Networking (TON)
Diffusion based statistical call admission control in ATM
Performance Evaluation
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
On the characterization of VBR MPEG streams
SIGMETRICS '97 Proceedings of the 1997 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
The GBAR source model for VBR videoconferences
IEEE/ACM Transactions on Networking (TON)
A dynamic packet reservation multiple access scheme for wireless ATM
Mobile Networks and Applications - Special issue: resource management in mobile wireless communication networks
Modeling one- and two-layer variable bit rate video
IEEE/ACM Transactions on Networking (TON)
A gamma-based framework for modeling variable-rate MPEG video sources: the GOP GBAR model
IEEE/ACM Transactions on Networking (TON)
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Self-Similar Network Traffic and Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
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
Modeling full-length video using Markov-modulated Gamma-based framework
IEEE/ACM Transactions on Networking (TON)
Modeling techniques for VBR video: feasibility and limitations
Performance Evaluation
A multimedia traffic modeling framework for simulation-based performance evaluation studies
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Network modelling and simulation
Content-based MPEG video traffic modeling
IEEE Transactions on Multimedia
Streaming video over variable bit-rate wireless channels
IEEE Transactions on Multimedia
Bandwidth allocation and call admission control in high-speed networks
IEEE Communications Magazine
Traffic models in broadband networks
IEEE Communications Magazine
Basic characteristics of variable rate video coding in ATM environment
IEEE Journal on Selected Areas in Communications
Statistics of video signals for viewphone-type pictures
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Modeling full-length VBR video using Markov-renewal-modulated TES models
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Modeling and call admission control algorithm of variable bit rate video in ATM networks
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
A gamma autoregressive video model on ATM networks
IEEE Transactions on Circuits and Systems for Video Technology
Statistical analysis and simulation study of video teleconference traffic in ATM networks
IEEE Transactions on Circuits and Systems for Video Technology
MPEG-4 and H.263 video traces for network performance evaluation
IEEE Network: The Magazine of Global Internetworking
Pricing-based call admission control for wireless MPEG-4 traffic
Computer Communications
Short Communication: Modeling multiplexed traffic from H.264/AVC videoconference streams
Computer Communications
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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.