Mirror image management method and device and electronic equipment

Abstract

The embodiment of the invention discloses a mirror image management method and device and electronic equipment, and relates to the field of cloud computing. The method comprises the steps of obtaininga mirror image uploading request, and the mirror image uploading request comprises a mirror image identifier; selecting a target node corresponding to the mirror image identifier from the at least one mirror image management node according to a preset hash algorithm; and sending a first processing instruction to the target node, the first processing instruction being used for controlling the target node to send the mirror image data corresponding to the mirror image identifier to the storage rear end to form storage data, and storing the mirror image data locally to form cache data. Accordingto the method, storage space waste can be avoided, and mirror image cache hit is guaranteed.

Description

technical field [0001] The present disclosure relates to the technical field of image management, and more specifically, to an image management method, an image management device, an electronic device, and a computer-readable storage medium. Background technique [0002] A cloud server image is a template for a cloud server that includes software configurations such as operating systems, application servers, and applications. When creating a cloud server instance, the user needs to specify an image, and the operating system and software provided by the image will be installed on the instance. [0003] OpenStack is an open source cloud computing management platform project. Its main components include identity service module keystone, computing service component Nova, mirroring service component Glance, and object storage service module Swift. Among them, the computing service component, the image service component and the object storage service module (or called storage bac...

AI Technical Summary

Problems solved by technology

The disadvantage of the above method is that the image download process depends on the data transmission between the image management component and the storage backend, so the image download speed is limited by the bandwidth between the image management component and the storage backend, usually the download process time consuming

However, there are still deficiencies in this download method

For example, when the image management component includes multiple image management nodes, it cannot be guaranteed that the download request will be processed by the same node every time, so that the image cache cannot guarantee a hit, and there may be multiple image caches for the same image, resulting in a waste of disk space

In addition, in the above method, it is still necessary to communicate with the storage backend when downloading the image for the first time, and the speed is still relatively slow

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