On modeling video traffic from multiplexed MPEG-4 videoconference streams

Authors:
A. Lazaris;P. Koutsakis;M. Paterakis
Affiliations:
Dept. of Electronic and Computer Engineering, Information & Computer Networks Laboratory, Technical University of Crete, Chania, Greece;Dept. of Electronic and Computer Engineering, Information & Computer Networks Laboratory, Technical University of Crete, Chania, Greece;Dept. of Electronic and Computer Engineering, Information & Computer Networks Laboratory, Technical University of Crete, Chania, Greece
Venue:
NEW2AN'06 Proceedings of the 6th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking
Year:
2006

Citing 17
Cited 4

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)
The importance of long-range dependence of VBR video traffic in ATM traffic engineering: myths and realities

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)
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)
Content-based MPEG video traffic modeling

IEEE Transactions on Multimedia
Modeling full-length VBR video using Markov-renewal-modulated TES models

IEEE Journal on Selected Areas in Communications
Diffusion approximation modeling for Markov modulated bursty traffic and its applications to bandwidth allocation in ATM networks

IEEE Journal on Selected Areas in Communications
A gamma autoregressive video model on 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

A New Call Admission Control Mechanism for Multimedia Traffic over Next-Generation Wireless Cellular Networks

IEEE Transactions on Mobile Computing
Markovian Characterisation of H.264/SVC Scalable Video

ASMTA '08 Proceedings of the 15th international conference on Analytical and Stochastic Modeling Techniques and Applications
The Video Streaming Monitoring in the Next Generation Networks

NEW2AN '09 and ruSMART '09 Proceedings of the 9th International Conference on Smart Spaces and Next Generation Wired/Wireless Networking and Second Conference on Smart Spaces
A genetic approach to Markovian characterisation of H.264 scalable video

Multimedia Tools and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

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 this type of 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 MPEG-4 videoconference movies from VBR coders.