Tribal large-scale network fault managment based on mobile agent

Abstract

The invention includes: building tribe; allocating tribe; making fault management by cooperation between multi mobile agents; making topology discovery by using features of mobile agent such as mobility, autonomy and intelligence to establish and classify the tribes in term of the topology structure of network; the network management station generates and distributes the tribe management agents to distribute the tribe; thereby the agent used in fault management can make a global network fault management between different tribes and a local network fault management in the interior of a tribe.

Description

technical field [0001] The invention is a distributed network fault management method in a large-scale network environment. It is mainly used to solve the problem of fault management of large-scale networks, and belongs to the application field of distributed computing, computer network and artificial intelligence cross technology. Background technique [0002] Mobile agent technology is a new technology that appears with the development of the Internet (Internet). It better adapts to the characteristics of the Internet and effectively simplifies the design, implementation and maintenance of distributed systems. Generally speaking, a mobile agent refers to an independent computer program, which can move independently on a heterogeneous network according to certain rules, and complete specific tasks on behalf of users. The advantages of the mobile agent are mainly two points: on the one hand, it realizes the calculation close to the required resources, which can save the ban...

AI Technical Summary

Problems solved by technology

At present, most fault management systems are based on the SNMP (Simple Network Management Protocol, Simple Network Management Protocol) protocol, but they lack sufficient flexibility and intelligence in management. With the continuous expansion of network scale and the increase of network applications, The shortcomings of centralized network fault management are becoming more and more obvious. It is not easy to expand, and the management overhead is large, so it is not suitable for building a large-scale network management system.

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