Discovery Method of Business System Hierarchical Organizational Structure with Hierarchical Network Structure

Abstract

The invention relates to the technical field of operation and maintenance of a large data center, in particular to a method for discovering a hierarchical organizational structure of a business system with a hierarchical network structure. This method uses log big data to establish an automatic cluster discovery and layering method, which can be used to automatically draw the business architecture diagram of complex business systems, thereby improving the efficiency of operation and maintenance and the timeliness of system architecture information. The business system architecture diagram constructed by this method can truly reflect the business logic relationship of the business system running on the server, and assist the operation and maintenance personnel in management. And the input of the present invention only needs the server log data of the data center, and can automatically discover the business architecture diagram of the complex business system, not only the result is accurate, but also does not require many people to operate, saving a lot of manpower and material resources.

Description

technical field [0001] The invention relates to the technical field of operation and maintenance of a large data center, in particular to a method for discovering a hierarchical organizational structure of a business system with a hierarchical network structure. Background technique [0002] The business system architecture diagram is as important to the operation and maintenance personnel of a large data center as the organizational structure chart of the company's personnel is to the personnel management personnel. One of the means. However, in recent years, with the rapid development of big data, cloud computing, and artificial intelligence technologies, the scale of data centers has also exploded. For the business system architecture diagram, which has hierarchical organizational structures with hierarchical network structures, it is not only necessary to Discovering cluster grouping also requires locating the hierarchical position of the cluster in the business system ...

AI Technical Summary

Problems solved by technology

However, in recent years, with the rapid development of big data, cloud computing, and artificial intelligence technologies, the scale of data centers has also exploded. For the business system architecture diagram, which has hierarchical organizational structures with hierarchical network structures, it is not only necessary to Discovering the grouping of clusters also needs to locate the hierarchical position of the cluster in the business system architecture diagram, and the traditional business system architecture diagram is manually organized by experienced operation and maintenance personnel, which has great defects

On the one hand, manual sorting is time-consuming and laborious; on the other hand, once the business system architecture changes or the operation and maintenance personnel are transferred, the business system architecture diagram cannot be updated quickly, nor can it be quickly handed over between personnel

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