Self-Similarity for Data Mining and Predictive Modeling - A Case Study for Network Data
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Bounded tag fair queueing for broadband packet switching networks
Computer Communications
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Both the fractional Brownian motion (fBm) and the Auto-regressive Integrated Moving Average (ARIMA) models have been applied to teletraffic scenarios in recent years. These models became popular after the discovery that Ethernet and VBR video data appear to possess the property of self-similarity. However the results presented in this paper suggest that Ethernet data is more impulsive than traffic generated by these models."