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
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;
Conference_Titel :
Network Operations and Management Symposium, 2002. NOMS 2002. 2002 IEEE/IFIP
Print_ISBN :
0-7803-7382-0
DOI :
10.1109/NOMS.2002.1015653
