Method and system for adaptively calculating IT intelligent operation and maintenance health index

Abstract

The invention discloses a method and a system for adaptively calculating an IT intelligent operation and maintenance health index. The method comprises the following steps: from a data access layer, data management and data cleaning forms data access in a standard format; a data quality management module analyzes the data quality and displays the data quality; after the algorithm platform takes data from the data platform, algorithm codes run on the algorithm platform; and when the health score of a certain application or resource is lower than a normal value, operation and maintenance personnel are assisted to perform association analysis on problems and perceive possible abnormal conditions in advance. The invention has the beneficial effects that aiming at the defects of the analytic hierarchy process, the method and the system for adaptively calculating the IT intelligent operation and maintenance health index are constructed by fully exerting the characteristics of an intelligent algorithm and taking massive historical data as a learning object; a self-adaptive dynamic weight index system combining an analytic hierarchy process and an intelligent algorithm has 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 IT intelligent operation and maintenance health index. Background technique [0002] In the IT operation and maintenance scenario, with the increase in the number of users and the amount of data in the operation and maintenance system, the pressure on the business system is also increasing. In order to facilitate operation and maintenance personnel to monitor the health of the application system, monitor and analyze abnormalities, the business needs to design a system health system, and use the application system as the core to calculate the impact of failures on the associated network, host, database, and middleware Scope, find out whether it leads to application system failure, so as to help managers quickly locate and solve application system failures, and meet the actual needs of customers. Traditional app...

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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