Real-time network monitoring scheme based on SNMP for dynamic information
Journal of Network and Computer Applications - Special issue: Network and information security: A computational intelligence approach
Intelligent Detection of Network Agent Behavior Based on Support Vector Machine
ICACTE '08 Proceedings of the 2008 International Conference on Advanced Computer Theory and Engineering
Low-End Embedded Devices Access Jini Network Design
ICACTE '08 Proceedings of the 2008 International Conference on Advanced Computer Theory and Engineering
VM-based Architecture for Network Monitoring and Analysis
ICYCS '08 Proceedings of the 2008 The 9th International Conference for Young Computer Scientists
A New Dynamic Network Monitoring Based on IA
ISCSCT '08 Proceedings of the 2008 International Symposium on Computer Science and Computational Technology - Volume 02
An agent based system for activity monitoring on network - ABSAMN
Expert Systems with Applications: An International Journal
Exploiting knowledge ontology and software agents for PPI network analysis
Expert Systems with Applications: An International Journal
Cross-Layer Design of Sequential Detectors in Sensor Networks
IEEE Transactions on Signal Processing
Presence Network Agent: A Simple Way to Improve the Presence Service
IEEE Communications Magazine
Expert Systems with Applications: An International Journal
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This paper presents a system to collect information through the cooperation of intelligent agent software, in addition to providing warnings after analysis to monitor and predict some possible error indications among controlled objects in the network. This technique derived from the ontology combining Ethereal and Cacti, which store the operating information of network management perfectly into the backend database. The system could sketch the four main components of network management systems with the technique of graphic monitoring multi-agent: an Interface Agent, a Proxy Agent, a Monitoring Agent, and a Search Agent. This architecture can effectively enhance and improve the network monitoring performance to be an active and intelligent network management system. It can present related quantification figures of dynamic information through graphic network monitoring system to provide fast, convenient, and profound network solutions to the users. The experimental outcomes proved that the techniques could not only precisely recognize error alarms but also indeed reduce the recovery time to 61% of traditional processing time for network troubleshooting.