Study on Optimization of Course Selection System Based on Virtual Machine Cluster and Dynamic Resource Expansion

Abstract

In view of the fact that the university course selection system has the characteristics of short burst, large concurrent business and complex business, combined with the existing course selection system of a university, an optimization scheme of dynamic resource expansion based on cloud platform is proposed. This scheme separates the course selection system from the educational administration management system, designs the course selection micro-service, and constructs the course selection micro-service architecture based on virtual machine cluster on the cloud platform. Through the dynamic expansion of resources of the cloud platform to solve the problem of low performance of the course selection system. The comparison of the implementation effect before and after optimization shows that the performance of the course selection system has been greatly improved, and the scheme is feasible and effective.