Analyzing fault monitoring policy for hierarchical network with MMDP environment

Authors:
Xin Zhang;Yilin Chang;Li Jiang;Zhong Shen
Affiliations:
State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China;State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China;Dept. of Electronic and Information, Xi'an Institute of Post and Telecommunications, Xi'an, China;State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China
Venue:
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Year:
2006

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Abstract

This paper proposed a fault monitoring policy for hierarchical network with multi-manager. It can be used to monitor the network in real time and lightened the burden of the network monitoring management. With the application of the multi-agent Markov Decision Processes in the network management, an appropriate policy model of SNMP polling with the reinforcement learning is given. The simulations results show that the reinforcement-learning model can provide effective fault localization meanwhile decrease the overhead of network management remarkably.