| Summary: | 碩士 === 國立交通大學 === 資訊工程系 === 91 === Network Management System (NMS) should provide some mechanisms to help network managers to monitoring and control the operation of a communication network system so that it will provide users effective, efficient, and reliable communication services . In order to enhance the capabilities of “automation”, ”real time”, robustness”, and “low system complexity” of the network management system, some researchers proposed to using mobile agent technique to implement network management system. However, most researches paid more attention on the mobility capability of mobile agents rather than the learning, and cooperation capability. Recently, Miss Hsu [15] proposed 『Collaboratively Learning Network Management System』which use the learning capability of the mobile agent to enhance the intelligence of the network management system. But there are two shortages in this system: (1) the fault management system and fault knowledge base are not designed, and (2) fault tolerance issue of network management system is not discussed. The purpose of this research is to solve these two problems.
Based on the fault recovery procedures, the cooperation and learning mechanism of mobile agent, local manager and system manager of fault management system is designed first, Then the deployment of knowledge base on mobile agent, local manager, and main manager is designed. Finally, corporation capability of mobile agents and backup mechanism of fault knowledge base are used to implement the fault tolerant mechanism of the fault management system.
The proposed network Fault management system has been implemented in a local area network to prove its feasibility. From this study, we find that the learning and cooperation capabilities of mobile agents can largely reduce fault recovery time and reduce the design complexity of fault tolerant network management system.
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