Method and device for deploying SaaS applications in cloud computing platform

Abstract

The invention discloses a method and a device for deploying SaaS (Software-as-a-service) applications in a cloud computing platform. The method comprises the following steps: uploading a multi-server deployment package, which carries server role types required by the applications; deploying a server corresponding to the current application according to the multi-server deployment package and preset multi-server deployment mapping relationship. Through the addition of server roles and edition numbers to an application deployment document of the server deployment package according to the characteristic that SaaS application assemblies correspond to the server types, the server type corresponding to each assembly in the multi-server deployment package is simply and quickly determined according to a server deployment mapping list, and the automatic deployment of the SaaS applications in the cloud computing platform is realized.

Description

technical field [0001] The invention relates to cloud computing technology, in particular to a method and device for deploying SaaS applications in a cloud computing platform. Background technique [0002] As a new type of computing, cloud computing has quickly become a research hotspot in academia and industry due to its advantages of high scalability and high availability. [0003] Software as a service (SaaS, Software-as-a-service, also known as software operation model) is one of the cloud computing service models, and SaaS is a service model that provides application software through the Internet. In the SaaS service mode, the software provider uniformly deploys the SaaS application on the server, and the customer can customize the required services according to the actual needs. [0004] Since there are many types of SaaS applications on the cloud computing platform, each type of application requires different types of servers, such as application servers, process ser...

AI Technical Summary

Problems solved by technology

This deployment method is simple, but the scalability is poor, and it is difficult to take advantage of the cloud platform's elastic scaling and on-demand services; then, manually upload each component to each server for deployment

The advantage of this deployment method is flexibility, but when the number of servers is large, the workload is too large and error-prone; then, based on a specific algorithm, SaaS application deployment is regarded as an optimization problem, which is solved by finding the optimal

This method is characterized by a high degree of automation, but the amount of calculation is too large

[0006] That is to say, in the current cloud computing platform SaaS application deployment scheme, various components of the SaaS application are centrally installed on a single server, which has poor scalability, and it is difficult to take advantage of the cloud platform's elastic scaling and on-demand services; And by manually uploading each component to the server for deployment, it is obvious that when the number of servers is large, the workload is too large and error-prone; it is necessary to optimize the deployment of SaaS applications based on a specific algorithm, which requires a large amount of calculation, and with the increase in the number of servers With the increase of SaaS components, the required computing time increases exponentially, which will obviously reduce the efficiency of the system

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