IEEE INFOCOM '92 Proceedings of the eleventh annual joint conference of the IEEE computer and communications societies on One world through communications (Vol. 1)
A histogram-based model for video traffic behavior in an ATM multiplexer
IEEE/ACM Transactions on Networking (TON)
On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Traffic descriptors for VBR video teleconferencing over ATM networks
IEEE/ACM Transactions on Networking (TON)
What are the implications of long-range dependence for VBR-video traffic engineering?
IEEE/ACM Transactions on Networking (TON)
On a Markov modulated chain exhibiting self-similarities over finite timescale
Performance Evaluation
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
Simple and efficient models for variable bit rate MPEG video traffic
Performance Evaluation - Special issue on applied probability modelling in telecommunication
Performance/availability modeling with the TANGRAM-II modeling environment
Performance Evaluation - Special issue on tools for 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
Peakedness Measures for Traffic Characterization in High-Speed Networks
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Traffic models in broadband networks
IEEE Communications Magazine
Fast algorithms for measurement-based traffic modeling
IEEE Journal on Selected Areas in Communications
A Markovian approach for modeling packet traffic with long-range dependence
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Performance Issues of Multimedia Applications
Performance Evaluation of Complex Systems: Techniques and Tools, Performance 2002, Tutorial Lectures
On TCP and self-similar traffic
Performance Evaluation - Long range dependence and heavy tail distributions
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Traffic characterization and modeling has been an extensive area of research in the last few years. Many of these studies aim at constructing accurate models to predict the network performance. Performance studies includes: analysis of admission control algorithms, buffer dimensioning, and many others. Several steps are needed to conduct a performance study. First, it is necessary to characterize the traffic generated by the applications, second it is important to choose an appropriate model to represent this traffic. The analysis of the accuracy of a traffic model is, in general, based on the match of some descriptors and on how well it predicts the performance measures. Finally, the user would like to construct and solve a network performance model. A large number of models have been proposed in the literature to describe a variety of traffic generated by data, audio and video sources. The model which is the more accurate for each type of traffic is still an open issue in the literature, and thus it is important to provide an environment to aid the user in the development and analysis of traffic models. The focus of this study is two-fold: to obtain analytical expressions for some important traffic descriptors calculated from general Markovian models and to present a set of modules we have implemented to provide an environment useful for traffic modeling, analysis and experimentation. These modules are currently being integrated in the TANGRAM-II modeling tool.