Method and system of cloud workflow scheduling in container environment

Abstract

The invention belongs to the technical field of cloud workflow scheduling in container environments, and discloses a method and a system of cloud workflow scheduling in a container environment. The system of cloud workflow scheduling in the container environment includes a resource acquisition module, a container performance monitoring module, a main control module, a resource allocation module, adata mirror image optimization module, an allocation report module, a data storage module and a display module. According to the system, container performance can be monitored through the container performance monitoring module while performance of a server can be simply and conveniently monitored, error warnings can be generated, and a method of visually presenting parameters through forms of graphs and tables can be implemented; at the same time, a mirror image is enabled to still ensure good re-editability after packaging and publishing through the data mirror image optimization module; and all file drives of existing Docker are supported, and through firstly containerizing a local mirror image and then carrying out exporting after abridging processing, no specific file drive is depended on.

Description

technical field [0001] The invention belongs to the technical field of cloud workflow scheduling in a container environment, and in particular relates to a cloud workflow scheduling method and system in a container environment. Background technique [0002] Cloud technology is a general term for network technology, information technology, integration technology, management platform technology, application technology, etc. based on cloud computing business model applications. It can form a resource pool, which can be used on demand and is flexible and convenient. Cloud computing technology will become an important support. The background services of technical network systems require a lot of computing and storage resources, such as video websites, picture websites and more portal websites. With the rapid development and application of the Internet industry, each item may have its own identification mark in the future, which needs to be transmitted to the background system fo...

AI Technical Summary

Problems solved by technology

[0004] Existing container performance monitoring tools cannot comprehensively monitor the information of the entire server, and can generate error warnings; at the same time, because the image contains the entire operating environment, the size of the image is often large, and a large error will be generated during the release process. The disk and network I / O overhead also limits the flexibility of mirroring, which is contrary to the original intention of the simple and convenient design of container technology, and even increases the difficulty of deploying the entire system

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