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Self-similar network traffic and performance evaluation
1 online resource (xiv, 558 pages) : illustrations
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.
Self-similar network traffic: an overview / Kihong Park and Walter Willinger -- Wavelets for the analysis, estimation, and synthesis of scaling data / P. Abry [and others] -- Simulations with heavy-tailed workloads / Mark E. Crovella and Lester Lipsky -- Queeing bahavior under fractional brownian traffic / Ilkka Norros -- Heavy load queueing analysis with LRD on/off sources / F. Brichet [and others] -- Single server queue: heavy tails and heavy traffic / O.J. Boxma and J.W. Cohen -- Fluid queues, on/off processes, and teletraffic modeling with highly variable and correlated inputs / Sidney Resnick and Gennady Samorodnitsky -- Bounds on the buffer occupancy probability with self-similar input traffic / N. Likhanov -- Buffer asymptotics for M/G.
edited by Kihong Park, Walter Willinger.
Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010. MiAaHDL
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL
Includes bibliographical references and index.