DocumentCode :
2625495
Title :
Predictive fault management in the dynamic environment of IP networks
Author :
Ding, Jianguo ; Kramer, B. ; Xu, Shihao ; Chen, Hansheng ; Bai, Yingcai
Author_Institution :
Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., China
fYear :
2004
fDate :
11-13 Oct. 2004
Firstpage :
233
Lastpage :
239
Abstract :
The growing complexity of IP networks in terms of hardware components, operating system, communication and application software and the huge amount of dependencies among them have caused an increase in demand for network management systems, particularly in fault management An efficient fault detection system needs to work effectively even in face of incomplete management information, uncertain situations and dynamic changes. In this paper, dynamic Bayesian networks are proposed to model static and dynamic dependencies between managed objects in IP networks. Prediction strategies and a backward inference approach are provided for the proactive management in fault detection based on the dynamic changes of IP networks.
Keywords :
IP networks; computer network management; fault diagnosis; IP networks; backward inference approach; dynamic Bayesian networks; fault detection system; network management systems; predictive fault management; Application software; Bayesian methods; Computer network management; Engineering management; Environmental management; Fault detection; Hardware; IP networks; Information management; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IP Operations and Management, 2004. Proceedings IEEE Workshop on
Print_ISBN :
0-7803-8836-4
Type :
conf
DOI :
10.1109/IPOM.2004.1547622
Filename :
1547622
Link To Document :
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