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Simulation Technologies in Networking and Communications
book

Simulation Technologies in Networking and Communications

by Al-Sakib Khan Pathan, Muhammad Mostafa Monowar, Shafiullah Khan
October 2014
Intermediate to advanced content levelIntermediate to advanced
648 pages
25h 35m
English
CRC Press
Content preview from Simulation Technologies in Networking and Communications
103High-Performance Tool for the Test of Long-Memory and Self-Similarity
4.4.1 selfis
Sels (Self-similarity analysis) is a java-based self-similarity analysis software tool developed by
Thomas Karagiannis at University of California at Riverside. Current algorithms implemented in
Sels include R/S statistic, variance type, absolute moment, variance of residuals, local Whittle,
periodogram, and Abry–Veitch method. Additionally, Sels performs basic statistics computations,
ACF, and power spectral density estimation, and some cleansing algorithms such as bucket shuf-
ing. Sels functionality is the same as in SelQoS. First, for Hurst-index estimation, the opening
of a one-column le is selected; after this, the time series is plotted and sho ...
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Publisher Resources

ISBN: 9781482225495