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A method for deleting container image data in cloud environment

A technology for mirroring data and cloud environments, applied in the field of cloud computing containers, can solve the problems of large disk and network I/O overhead, limit the flexibility of mirroring, increase the difficulty of system deployment, etc., and achieve good reliability and maintainability , good re-editability, easy to publish and transplant effects

Active Publication Date: 2020-06-16
JINAN UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In practice, since the image contains the entire operating environment, the size of the image is often very large, which will generate a large disk and network I / O overhead during the release process, and also limit the flexibility of the image. The streamlined and convenient design of container technology goes against the original intention, and even increases the difficulty of deploying the entire system

Method used

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  • A method for deleting container image data in cloud environment
  • A method for deleting container image data in cloud environment
  • A method for deleting container image data in cloud environment

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Embodiment

[0036] like figure 1 As shown, it is a schematic diagram of the system structure of a container image data deletion method in a cloud environment, and it is applied to the container image scale optimization in a stand-alone environment:

[0037] In this environment, local image data pruning includes locally stored images and exported images. The purpose of the present invention is to allow more upper layer images to reuse the same base image by increasing the reuse rate of the image layer shared between the images in the local environment, thereby reducing the overall storage cost of the image locally; In the export image environment, through the obtained file access information, the generated pruned image only contains the files that the image function depends on, thereby reducing the size of the exported image.

[0038] In order to clarify the application scenario of the present invention more clearly, the following is combined with the system work flow chart ( figure 2 )...

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Abstract

The invention discloses a method for deleting container image data in a cloud environment. The invention aims at the fact that in the practice of container technology, due to the excessive space occupied by the image disk, a relatively large disk and network I will be generated during the publishing process. The / O overhead increases the deployment cost and limits the flexibility of image use. A method for reducing container image data is proposed. This method is applicable to two scenarios: local storage and image export. When storing locally, the disk storage overhead of image storage is reduced by increasing the multiplexing rate of the local basic image; when exporting an image, the files accessed during the running process of the container are dynamically collected, and a file export model is established to realize the export image by It needs to be built to reduce the size of the exported image and ensure the functional integrity of the exported image.

Description

technical field [0001] The present invention relates to the technical field of cloud computing containers, in particular to a method for deleting container image data in a cloud environment, and more specifically to an image size optimization method for local storage and export of Docker container images. Background technique [0002] Container technology is an operating environment isolation technology similar to a sandbox mechanism. Users can create and run operating systems in containers to achieve operating system-level virtualization. Compared with traditional virtual machines, container technology realizes lightweight application isolation by sharing kernel resources. Docker is an implementation of container technology, featuring high portability and integration of development, operation and maintenance. [0003] Nowadays, with the increasing scale of cloud computing and big data, enterprises have an increasing demand for product continuous integration and efficient r...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08G06F16/16
CPCH04L67/10H04L67/1095G06F16/162H04L67/5682
Inventor 邓玉辉周毅
Owner JINAN UNIVERSITY