Fractals in nature: from characterization to simulation
The Science of Fractal Images
On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
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
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
A practical guide to heavy tails: statistical techniques and applications
A practical guide to heavy tails: statistical techniques and applications
Estimating the heavy tail index from scaling properties
Methodology and Computing in Applied Probability
On the use of self-similar processes in network simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on modeling and simulation of communication networks
Self-Similar Network Traffic and Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
On the relationship between file sizes, transport protocols, and self-similar network traffic
ICNP '96 Proceedings of the 1996 International Conference on Network Protocols (ICNP '96)
Explaining World Wide Web Traffic Self-Similarity
Explaining World Wide Web Traffic Self-Similarity
Wavelet analysis of long-range-dependent traffic
IEEE Transactions on Information Theory
Self-similar processes in communications networks
IEEE Transactions on Information Theory
A wavelet-based joint estimator of the parameters of long-range dependence
IEEE Transactions on Information Theory
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Several simulation and measurement studies have reported the well-known network traffic self-similarity and long-range dependency and the consequences for network performance. In the context of simulation, however, the impact of the number of sources has not been sufficiently emphasized for the generation of synthetic self-similar traffic. In this paper we describe a simulation scenario suitable for the testing of performance issues under self-similar traffic. Our analysis was centered on the effect of traffic aggregation over the self-similarity degree, determining the necessary number of sources to approach the verified relation H = (3 - min α)/2. Besides, we highlighted the performance of several Hurst parameters estimators for this type of simulation scenarios, identifying the most suited ones.