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)
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 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
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A lot of simulations results have been reported based on the well-known network traffic self-similarity phenomena and its performance However, the impact of the number of sources had not been sufficient emphasized in 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.