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2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops)
On the Use of the Schwarz Information Criterion for Analysis and Segmentation of Non-Stationary LRD Traffic
Trento, Italy
January 31-February 04
ISBN: 0-7695-2263-7
ASCII Text
x 
 
David Rincón, Sebastià Sallent, "On the Use of the Schwarz Information Criterion for Analysis and Segmentation of Non-Stationary LRD Traffic," Applications and the Internet Workshops, IEEE/IPSJ International Symposium on, pp. 280-283, 2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops), 2005.
 
 
BibTex
x
 
@article{ 10.1109/SAINTW.2005.89,
author = {David Rincón and Sebastià Sallent},
title = {On the Use of the Schwarz Information Criterion for Analysis and Segmentation of Non-Stationary LRD Traffic},
journal ={Applications and the Internet Workshops, IEEE/IPSJ International Symposium on},
volume = {0},
year = {2005},
isbn = {0-7695-2263-7},
pages = {280-283},
doi = {http://doi.ieeecomputersociety.org/10.1109/SAINTW.2005.89},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Applications and the Internet Workshops, IEEE/IPSJ International Symposium on
TI - On the Use of the Schwarz Information Criterion for Analysis and Segmentation of Non-Stationary LRD Traffic
SN - 0-7695-2263-7
SP280
EP283
A1 - David Rincón,
A1 - Sebastià Sallent,
PY - 2005
KW - null
VL - 0
JA - Applications and the Internet Workshops, IEEE/IPSJ International Symposium on
ER -
 
David Rincón, Universitat Politècnica de Catalunya
Sebastià Sallent, Universitat Politècnica de Catalunya
Long-range dependence (LRD) and other fractal characteristics have been found in network traffic. Among all the estimators of LRD, those based on the Discrete Wavelet Transform (DWT) are preferred due to their efficiency and accuracy, but do not consider the possibility of non-constant LRD parameters. We propose the use of the Schwarz Information Criterion (SIC) combined with the DWT and the Stationary Wavelet Transform (SWT) in order to detect changes in the signal?s variance structure, and segment the traffic into pieces with homogeneous fractal characteristics. The algorithm has been tested with synthetic and real traces.
Citation:
David Rincón, Sebastià Sallent, "On the Use of the Schwarz Information Criterion for Analysis and Segmentation of Non-Stationary LRD Traffic," saint-w, pp.280-283, 2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops), 2005
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