Description
A collection of work from top researchers in the field, this book covers all aspects of self-similar network traffic. Readers will gain a better understanding of these networks through a broad introduction to the topic, as well as suggestions for future research.
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Self-similar networks are those that involve fractals. The 21 studies here describe some of the principal developments and results concerning self-similar communications network traffic, covering traffic modeling, queueing-based performance analysis, and traffic control. The topics include wavelets for analyzing, estimating, and synthesizing scaling data; queueing behavior under fractional Brownian traffic; bounds on the buffer occupancy probability with self-similar input traffic; analyzing the transient loss performance impact of long-range dependence in network traffic; and congestion control. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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