Research on Optimization of Course Selection System Based on Micro service and Dynamic Resource Extension

Autor: Zheyuan Lin, Pingrong Lin, Xiaoquan Shi
Rok vydání: 2019
Předmět:
Zdroj: Proceedings of the 2019 4th International Conference on Big Data and Computing - ICBDC 2019.
DOI: 10.1145/3335484.3335546
Popis: In view of the fact that the course selection system in Colleges and universities has short burst access, large concurrent business and complex business, and combined with the existing course selection system of South China Institute of Software Engineering of Guangzhou University, an optimization scheme based on micro service and dynamic resource extension is constructed. The scheme can solve the problem of low performance of course selection system by building a micro-service architecture, splitting the business services of course selection system, scaling up the cluster of servers, and expanding the resources dynamically. The performance comparison before and after optimization shows that the performance of the course selection system has been greatly improved, and the scheme is feasible and effective.
Databáze: OpenAIRE