A method and system for adaptively calculating it intelligent operation and maintenance health index

Abstract

The invention discloses a method and system for adaptively calculating IT intelligent operation and maintenance health index, which comprises the following steps: starting from the data access layer, through data governance and data cleaning into standard format data access; Data quality analysis and display; after the algorithm platform fetches data from the data platform, the algorithm code runs on the algorithm platform; when the health score of an application or resource is lower than the normal value, assist the operation and maintenance personnel to conduct correlation analysis of the problem and Early detection of abnormal situations that may occur. The beneficial effect of the present invention is: aiming at the shortcomings of the AHP, the object of the present invention is to give full play to the characteristics of the intelligent algorithm, use massive historical data as the learning object, and construct a set of self-adaptive calculation IT intelligent operation and maintenance health index The method and system, combined with an adaptive dynamic weight index system combining AHP and intelligent algorithms, have the characteristics of intelligent optimization and automatic learning.

Description

technical field [0001] The invention relates to the field of intelligent IT operation and maintenance, in particular to a method and system for adaptively calculating the health index of IT intelligent operation and maintenance. Background technique [0002] In the IT operation and maintenance scenario, with the increase in the number of users and the increase in the amount of data, the pressure on the business system is also increasing. In order to facilitate the operation and maintenance personnel to monitor the health of the application system, monitor and analyze the abnormality, the business needs to design a system health system, and take the application system as the core to calculate the failure impact of the associated network, host, database, and middleware. The scope of the application system can be determined to determine whether it causes the application system failure, so as to help the administrator to quickly locate and solve the application system failure to...

AI Technical Summary

Problems solved by technology

[0005] The disadvantages of "AHP" are: 1) As an expert system, the thresholds and weights of various indicators in the hierarchical system need to be preset

2) The workload of setting thresholds and weights is relatively large, requiring a deep understanding of the business and relying heavily on experts

3) With the rise of the data dimension and the exponential increase of the application scenarios, the final AHP will encounter the bottleneck of "can't count"

4) Lack of self-learning function, insufficient adaptability

[0006] In the field of IT operation and maintenance, most of the traditional application system health systems use the expert system based on the analytic hierarchy process. The biggest problem with this method is that the thresholds and weights of various indicators need to be set by experts, which cannot meet the dynamic changes of system indicators and The growing need for system management capabilities

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