Parametric & non-parametric analysis of mean treatment effects of number of packets in transit in data network model

Author

Xie, Shengkun ; Lawniczak, Anna T. ; Lio, Pietro

Author_Institution

Dept. of Math. & Stat., Univ. of Guelph, Guelph, ON

fYear

2008

fDate

4-7 May 2008

Abstract

We analyse packet traffic in a data communication network model of the packet switching type using wavelets and principal component analysis (PCA) based methods. We focus our analysis on mean treatment effects for various factors, i.e. the pairs (routing cost metric, source load value), when the response metric is the network performance indicator number of packets in transit. We show through some examples that wavelets and PCA methods provide effective estimators of the network performance.

Keywords

data communication; packet switching; principal component analysis; wavelet transforms; data communication network model; data network model; mean treatment effects; packet traffic; principal component analysis; response metric; Costs; Data communication; Packet switching; Performance analysis; Principal component analysis; Routing; Telecommunication traffic; Traffic control; Wavelet analysis; Wavelet packets; OSI Network Layer; denoising; functional ANOVA; principal component analysis; wavelets;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on

Conference_Location

Niagara Falls, ON

ISSN

0840-7789

Print_ISBN

978-1-4244-1642-4

Electronic_ISBN

0840-7789

Type

conf

DOI

10.1109/CCECE.2008.4564900

Filename

4564900