Intelligent IT operation and maintenance system

Abstract

The invention discloses an intelligent IT operation and maintenance system which comprises a plurality of custom processing modules, a fuzzy engine (110) and a brittle rule engine (100). The custom processing modules are used for processing selected fuzzy expressions; the fuzzy engine (110) is used for distributing the fuzzy expressions to a certain custom processing module; in the rule calculation process of a data set to be judged, the brittle rule engine (100) generates a call of the fuzzy engine (110) when meeting the fuzzy expressions. According to the intelligent IT operation and maintenance system, a single rule engine in the prior art is replaced by the structure that the custom processing modules are matched with the fuzzy engine and the brittle rule engine, the fuzzy rule processing capacity is improved, and custom modification is easier.

Description

technical field [0001] The invention relates to the field of IT operation and maintenance, in particular to an operation and maintenance system aimed at improving system intelligence and customization flexibility. Background technique [0002] With the in-depth development of information construction, information systems have increasingly become the key infrastructure for core business processing; in order to ensure the normal operation of IT resources such as networks, servers, and databases, high-quality maintenance is required; relying on manual maintenance of information systems The practice of primary maintenance can no longer meet the timeliness and accuracy requirements of operation and maintenance; in order to improve the quality of operation and maintenance and reduce the cost of operation and maintenance, the IT operation and maintenance system came into being. As the core component of the IT operation and maintenance system, the rule base is the An important basis...

AI Technical Summary

Problems solved by technology

[0002] With the in-depth development of information construction, information systems have increasingly become the key infrastructure for core business processing; in order to ensure the normal operation of IT resources such as networks, servers, and databases, high-quality maintenance is required; relying on manual maintenance of information systems The practice of primary maintenance can no longer meet the timeliness and accuracy requirements of operation and maintenance; in order to improve the quality of operation and maintenance and reduce the cost of operation and maintenance, the IT operation and maintenance system came into being. As the core component of the IT operation and maintenance system, the rule base is the An important basis for the realization of the function of the maintenance system. With the continuous improvement of the requirements for automation and intelligence of the operation and maintenance system, on the one hand, the rule engine of the existing operation and maintenance system is single and brittle, and cannot adapt to the actual needs of continuous enrichment and flexibility of operation and maintenance rules. For example, when the load of a certain machine in the system is "overweight", it is required to generate an alarm and perform corresponding shunt processing. It is easy and easy to solve, and often requires major modification and adjustment of the rule base, and is extremely error-prone; on the other hand, the functions and requirements of the operation and maintenance system are constantly improving. In addition to basic operation monitoring, it is also hoped that the operation and maintenance system can System optimization and planning provide analysis reference, etc., but the rules of different organizations and IT infrastructure systems are very different, which requires the operation and maintenance system to have higher adaptability and customization flexibility for different projects , which is difficult to satisfy in the existing operation and maintenance system

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