Service system hierarchical organization structure discovery method with hierarchical network structure

Abstract

The invention relates to the technical field of operation and maintenance of large data centers, in particular to a service system hierarchical organization structure discovery method with a hierarchical network structure. According to the method, an automatic cluster discovery and layering method is established by utilizing log big data and can be used for automatically drawing a service architecture diagram of a complex service system, so that the operation and maintenance efficiency and the timeliness of system architecture information are improved. The service system architecture diagram constructed by the method can truly reflect the service logic relationship of the operation of the service system on the server, and assists the management of operation and maintenance personnel. The input of the method only needs the server log data of the data center, the service architecture diagram of the complex service system can be automatically found, the result is accurate, excessive manual operation is not needed, and a large amount of manpower and material resource expenses are saved.

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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