Network topology construction method, device and equipment and storage medium

Abstract

The embodiment of the invention discloses a network topology construction method, apparatus and device, and a storage medium. The method comprises the steps of obtaining position information of a target network component in a computer network; when the position information of the target network component meets a preset construction condition, updating the network topology by using the target network component; determining an adjacent component of the target network component based on the internal relation attributes and / or the external relation attributes of the at least two network componentsstored in the non-relational database; and taking the adjacent component as a new target network component, and performing the next network topology updating operation. Therefore, judgment processingis carried out based on the internal and external relation attribute information stored in the non-relational database; according to the method, the adjacent network components belonging to the target host machine are selected for reasonable network topology construction, namely, the construction mode effectively reduces unnecessary network component extraction. Meanwhile, the access frequency ofthe database is reduced, and the construction efficiency of the network topology is improved.

Description

technical field [0001] The present application relates to the technical field of cloud computing, and in particular to a method, device, device and storage medium for constructing a network topology. Background technique [0002] With the advent of the era of cloud computing, the data center control system based on network virtualization needs to support massive network topology data storage. Among them, when constructing the network topology, it is necessary to select the corresponding network component configuration from the massive network topology data stored in the database. , based on high concurrency, high availability and other feature requirements; however, at present, based on traditional relational database (Structured Query Language, SQL), it exposes many insurmountable problems in these complex network topologies. [0003] SQL has the following main disadvantages when processing massive network topology information: (1) Massive data and high input / output (Input / ...

AI Technical Summary

Problems solved by technology

[0002] With the advent of the era of cloud computing, the data center control system based on network virtualization needs to support massive network topology data storage. Among them, when constructing the network topology, it is necessary to select the corresponding network component configuration from the massive network topology data stored in the database. , based on the requirements of high concurrency and high availability; however, at present, based on the traditional relational database (Structured Query Language, SQL), it exposes many insurmountable problems in these complex network topologies

[0003] SQL has the following main disadvantages when processing massive network topology information: (1) Massive data and high input / output (Input / Output, I / O) consumption: single attribute processing needs to pull the data of the entire tuple, when high concurrency requirements Reduced query efficiency and increased I / O consumption; (2) Insufficient high concurrency performance: For large data centers, multiple control nodes read and write to the database at the same time, and the I / O bottleneck of the disk is highlighted

It can be seen that the construction of virtualized network topology based on the use of SQL has brought about the problems of high concurrency consumption and low read and write efficiency

Images