Fault prediction at the network layer using intelligent agents

Author

Thottan, M. ; Ji, C.

Author_Institution

Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA

fYear

1999

fDate

1999

Firstpage

745

Lastpage

759

Abstract

Prediction of network failures at the router level has been achieved using an intelligent agent. The intelligent agent gathers relevant MIB data from the router and provides temporally and spatially correlated predictive alarms. The time correlated abnormal changes in the individual MIB variables are spatially correlated using a novel combining scheme. The agent was implemented on a real network and seven out of nine faults were predicted. Two typical case studies are presented. The prediction time was of the order of minutes

Keywords

fault location; software agents; telecommunication computing; telecommunication network management; telecommunication network reliability; MIB data; combining scheme; fault prediction; intelligent agents; network layer; predictive alarms; spatial correlation; Automata; Communication system traffic control; Computer networks; Electronic mail; Fault detection; Fault diagnosis; Intelligent agent; Large-scale systems; Packaging machines; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Integrated Network Management, 1999. Distributed Management for the Networked Millennium. Proceedings of the Sixth IFIP/IEEE International Symposium on

Conference_Location

Boston, MA

Print_ISBN

0-7803-5748-5

Type

conf

DOI

10.1109/INM.1999.770720

Filename

770720