A method and device for identifying an application topology map

Abstract

The embodiment of the invention provides an application topological graph identification method and device. The method comprises the following steps: S1, acquiring a plurality of nodes of a to-be-identified application system and communication association relationships among the nodes; S2, generating an initial directed graph according to the plurality of nodes and the communication association relationship among the nodes, and performing aggregation processing on the initial directed graph according to a directed graph aggregation algorithm to obtain an aggregated directed graph; and S3, acquiring attribute information of each node, and verifying the aggregated directed graph according to the attribute information of each node to obtain an application topological graph of the to-be-identified application system. The device is used for executing the method. According to the method and the device provided by the embodiment of the invention, the identification efficiency of the application topological graph is improved.

Description

technical field [0001] Embodiments of the present invention relate to the field of computer technologies, and in particular, to a method and device for identifying an application topology map. Background technique [0002] The application topology diagram is a graphical display of the deployment information of application components (such as programs, services, components, etc.) on each host (such as a server) of the IT system and the interaction (similar to service request-response) information between the deployed application components, It is of great significance for in-depth understanding of IT application system architecture design, fault location, daily architecture management, application system architecture planning, etc. Therefore, the research on the identification method of application topology diagram of application system has attracted more and more attention. [0003] The application topology identification methods under the existing technical conditions mainl...

AI Technical Summary

Problems solved by technology

However, with the continuous expansion of the scale of various system clusters, the simple manual sorting in method (1) has become a difficult task, which is difficult, time-consuming, and has low accuracy; once the method (2) leaves a suitable virtual However, this method will no longer be applicable to traditional physical machine deployment clusters or containerized environments; method (3) is still weak in identifying application node information, and the identification accuracy is low; method (4) is not applicable to the application There will be a potential impact on the stability of the system, and it will further consume some resources of the cluster host where it is located

In summary, the methods in the prior art all have a certain impact on the efficiency of application topology map recognition

Images