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Automated detection of changes in computer network measurements using wavelets

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posted on 22.10.2007, 08:21 by Konstantinos G. Kyriakopoulos, David J. Parish
Monitoring and measuring various metrics of high speed and high capacity networks produces a vast amount of information over a long period of time. For the collected monitoring data to be useful to administrators, these measurements need to be analyzed and processed in order to detect interesting characteristics such as sudden changes. In this paper wavelet analysis is used along with the universal threshold proposed by Donoho - Johnstone in order to detect abrupt changes in computer network measurements. Experimental results are obtained to compare the behaviour of the algorithm on delay and data rate signals. Both type of signals are measurements from real networks and not produced from a simulation tool. Results show that detection of anomalies is achievable in a variety of signals.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

KYRIAKOPOULOS, K.G. and PARISH, D.J., 2007. Automated detection of changes in computer network measurements using wavelets. IN: Proceedings of 16th International Conference on Computer Communications and Networks, ICCCN, Honolulu, Hawaii, USA, 13-16 August. IEEE, pp. 1223 - 1227

Publisher

© IEEE

Publication date

2007

Notes

This is a conference paper [© IEEE] and is also available online at: http://ieeexplore.ieee.org/xpl/RecentCon.jsp?punumber=4317769 Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

ISSN

1095-2055

Language

en

Exports

Loughborough Publications

Exports