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Download fileAutomated detection of changes in computer network measurements using wavelets
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posted on 2007-10-22, 08:21 authored by Konstantinos G. Kyriakopoulos, David J. ParishMonitoring 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 - 1227Publisher
© IEEEPublication date
2007Notes
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
1095-2055Language
- en