DocumentCode
1915579
Title
Automatic detection of abnormal deviations from network performance data values
Author
Tuchs, K.-D. ; Cech, M. ; Jobmann, K.
Author_Institution
Dept. of Commun. Networks, Hannover Univ., Germany
fYear
2002
fDate
2002
Firstpage
959
Lastpage
961
Abstract
Analysing performance data to find the necessary information about the present condition of the communication network and hidden faults is difficult, because of the huge amount of performance data produced by the network. This paper proposes and evaluates the effectiveness of an algorithm which is capable of detecting abnormal deviations in time dependent network performance data. The proposed algorithm is trainable to improve its deviation detection quality.
Keywords
least squares approximations; mobile radio; telecommunication network management; telecommunication traffic; abnormal deviation detection; least square algorithm; mobile wireless networks; network management; network performance data; operation-management center; traffic volume; Communication networks; Data analysis; Databases; Energy management; Equations; Least squares approximation; Monitoring; Performance analysis; State estimation; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Operations and Management Symposium, 2002. NOMS 2002. 2002 IEEE/IFIP
Print_ISBN
0-7803-7382-0
Type
conf
DOI
10.1109/NOMS.2002.1015653
Filename
1015653
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