Paper Info
Title
Scaling Analysis of Wavelet Quantiles in Network Traffic
Abstract
The study of network traffic by flow analysis has been the subject of intense and varied research. Wavelet transforms, which form the core of most traffic analysis tools, are known to be robust to linear trends in data measurements, but may suffer from the presence of occasional non-stationarities. This paper considers how the information associated to quantiles of wavelet coefficients can be exploited to improve the understanding of traffic features. A tool based on these principles is introduced and results of its application to analysis of traffic traces are presented.
Year
DOI
Venue
2009
10.1007/978-3-642-01645-5_13
TMA
Keywords
Field
DocType
data measurement,wavelet quantiles,scaling analysis,varied research,occasional non-stationarities,traffic analysis tool,traffic trace,network traffic,wavelet coefficient,linear trend,traffic feature,flow analysis,wavelet transform
Traffic generation model,Data mining,Traffic analysis,Computer science,Quantile,Cascade algorithm,Network traffic simulation,Scaling,Wavelet transform,Wavelet
Conference
Volume
ISSN
Citations 
5537
0302-9743
0
PageRank 
References 
Authors
0.34
7
2
Name
Order
Citations
PageRank
Giada Giorgi17113.30
Claudio Narduzzi213820.65