Intelligent search of correlated alarms from database containing noise data

Author

Zheng, Qingguo ; Xu, Ke ; Lv, Weifeng ; Ma, Shilong

Author_Institution

Dept. of Comput. Sci. & Eng., Nat. Lab. of Software Dev. Environ., Beijing, China

fYear

2002

fDate

2002

Firstpage

405

Lastpage

419

Abstract

Alarm correlation plays an important role in improving the service and reliability in modern telecommunication networks. Most previous research of alarm correlation did not consider the effects of noise data in the database. This paper focuses on the method of discovering alarm correlation rules from a database containing noise data. We firstly define two parameters, win-freq and win-add, as the measures of noise data and then present a robust search algorithm to solve the problem. At different size of win-freq and win-add, the experiments on the alarm database containing noise data show that the robust search algorithm can discover more rules with the bigger size of win-add. We also compare, by experiments, two different interestingness measures of confidence and correlation.

Keywords

correlation methods; data mining; fault diagnosis; query processing; random noise; telecommunication computing; telecommunication network management; telecommunication network reliability; alarm correlation; alarm database; correlation rules; data mining methods; fault management; intelligent search; interestingness measures; network management; noise data; robust search algorithm; telecommunication network reliability; Computer science; Data engineering; Data mining; Deductive databases; Extraterrestrial measurements; Intelligent networks; Noise measurement; Noise robustness; Programming; Working environment noise;

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.2002.1015598

Filename

1015598