Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
SIGCOMM '95 Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Experimental queueing analysis with long-range dependent packet traffic
IEEE/ACM Transactions on Networking (TON)
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Dynamics of IP traffic: a study of the role of variability and the impact of control
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
Wavelet analysis of long-range-dependent traffic
IEEE Transactions on Information Theory
Modeling and simulation of broadband satellite networks. II. Traffic modeling
IEEE Communications Magazine
A parameterizable methodology for Internet traffic flow profiling
IEEE Journal on Selected Areas in Communications
An empirical comparison of generators for self similar simulated traffic
Performance Evaluation
Comparative analysis of Hurst techniques
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
Performance Issues in Optical Burst/Packet Switching
Towards Digital Optical Networks
Flow-based load-balancing architecture for the agile all-photonic network
Photonic Network Communications
Computer Networks: The International Journal of Computer and Telecommunications Networking
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We construct five new fractal traffic models based on the unified framework of Fractal Point processes (FPPs), and analyze their asymptotic statistical properties. Two of them are On-Off types, suitable for characterizing an aggregate fractal traffic source. The other three provide a structure suitable for flow modeling, allowing for gaining a quantitative understanding of how application- or flow-level fractal dynamics (such as user activity, session/flow arrivals, duration, and volume distributions) affect packet-level fractal dynamics. Such a structure, together with analytic results obtained in this work, opens an entirely new horizon that enables us to explain the causes and origins of complex multiple-time-scale behaviors of packet-level dynamics in a quantitative manner, i.e., multi-fractal patterns over minor scales and mono-fractal behavior over large time scales. Consequently, they provide network traffic engineering researchers and practitioners with practical and flexible tools for analyzing, devising and performing various traffic-engineering studies. All of the FPPs are implemented in OPNET as IP-routable traffic generators.