Developing an Active Intelligent Network Management System with Ontology-based and Multi-Agent Techniques

Abstract

The system operated the information fetching through the cooperation and coordinate of the intelligent agent software. In addition, the system also provided warnings after analysis so as to monitor and predict some possible error portents generated among controlled objects in the network, and such operating mode, so to speak, an active and intelligent network management system with multi-agent techniques. This technique derived from the ontology combining with related free software - Cacti which stored the operating information of network management perfectly into the backend database; furthermore, integrated intelligent agent techniques to provide backend monitoring system with further analysis so as to present related quantification figures of dynamic information of graphic network monitoring system. The experimental outcomes of the system prototype proved that the techniques implemented in this thesis could not only precisely recognize error alarms but also indeed reduce the recovery time to 61% of traditional processing time for network troubleshooting when real-time browsing, analyzing, estimating, handling, and engaging to behavior analysis of using network.