Software deployment system and deployment method based on workflow in cloud computing environment

Abstract

The invention provides a software deployment system and a software deployment method based on workflow in a cloud computing environment. The software deployment system comprises a user interface layer, a system logic layer and a cloud resource layer, wherein the user interface layer is used for a user to describe a software deployment plan, define a dependence relation between software, inquiry the node state of a target machine, describe software attribute and monitor a software deployment process; the system logic layer is used for analyzing a soft deployment plan file submitted by the user and deploying a software packet on a remote cloud resource node according to the deployment plan of the user; and the cloud resource layer is used for deploying software. The system and the method have the advantages that automatic software deployment under a Windows operating system and a Linux operating system is supported; comprehensive and accurate verification of the software deployment is provided; on the basis of a workflow technology, automatic deployment dependent on the software is supported; multi-machine concurrent transmission and software packet deployment are supported; the deployment efficiency is improved; and automatic software inverse deployment is supported.

Description

【Technical field】 [0001] The invention belongs to the field of computer applications, and in particular relates to a workflow-based software deployment system in a cloud computing environment. 【Background technique】 [0002] At present, cloud computing (Cloud Computing) is being widely concerned by academia and industry. It is the development of distributed computing, parallel processing and grid computing. Its goal is to provide users with safe, fast and convenient Internet-centric Data storage and network computing services. After adopting cloud computing, the operation of enterprise data centers will be more similar to the Internet, which enables enterprises to quickly switch resources to required applications and access computing resources and storage systems according to actual needs. [0003] As a new type of computing technology, cloud computing aims to dynamically provide required computing and storage resources and manage various workloads to meet the needs of a la...

AI Technical Summary

Problems solved by technology

However, they still have the following defects: (1) WPKG and Kaseya are only limited to software deployment in the Windows environment, while most of the current cloud computing platforms use the Linux / Unix operating system environment

(2) WPKG and Kaseya do not support dependent software deployment

However, in a cloud computing platform, multiple software often needs to be deployed on each computing node, and it is very common for software to have dependencies.

(3) The deployment efficiency of WPKG and Kaseya is not high

Therefore, at present, they cannot meet the needs of rapid construction of cloud computing environment software deployment

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