DocumentCode :
2868579
Title :
Intelligent agents for network management: a fault detection experiment
Author :
Cheikhrouhou, M. ; Conti, P. ; Labetoulle, J. ; Marcus, K.
Author_Institution :
Dept. Corporate Commun., Inst. Eurecom, Sophia-Antipolis, France
fYear :
1999
fDate :
1999
Firstpage :
595
Lastpage :
609
Abstract :
We present an architecture for flexible intelligent agents dedicated to building network management systems and their application for a concrete experiment. The agent architecture is based on skills that can be plugged into an agent brain. The skill is a piece of code that can be loaded seamlessly into an agent to supply it with more new capabilities. The brain is a common part that governs the whole function of the agent. We will explain in detail how this architecture was used to build a fault-tolerant agent system that distributedly monitors a multi-domain network. The fault tolerance was ensured by a detection mechanism based on system level diagnosis, and a recovery procedure based on task redistribution. The experiment demonstrated how the agent system could ensure the distributed monitoring even in the case of the partial failure of the agent system
Keywords :
computerised monitoring; fault tolerance; software agents; telecommunication computing; telecommunication network management; brain; distributed monitoring; fault detection; fault-tolerant agent system; flexible intelligent agents; multi-domain network; network management; recovery procedure; skill code; system level diagnosis; task redistribution; Buildings; Computer architecture; Concrete; Condition monitoring; Fault detection; Fault diagnosis; Fault tolerant systems; Intelligent agent; Intelligent networks; Multiagent systems;
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.1999.770710
Filename :
770710
Link To Document :
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