The Construction of Double Network Simulation Training System for College Students Based on Cloud Platform
- DOI
- 10.2991/978-94-6463-044-2_29How to use a DOI?
- Keywords
- java; Double training; SSM; Cloud learning
- Abstract
In order to promote the innovation and entrepreneurship reform of college students in national construction, this paper designs college students’ double-innovation training system based on cloud learning platform and realizes the development of related application platforms. The system adopts java technology development language for system design, SSM architecture of spring + springmvc + mybatis and IntelliJ IDEA software for development environment. The cloud server is built by Google Cloud combined with tomcat and redis cluster, nginx is used as load balancing, and mysql relational database and nosql database are used for database development. The construction of cloud learning platform can effectively solve all kinds of difficulties encountered in innovation and entrepreneurship, and form a virtual industrial cluster supported by big data technology and cloud technology to serve the development of double innovation in universities.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Hua Xie PY - 2022 DA - 2022/12/27 TI - The Construction of Double Network Simulation Training System for College Students Based on Cloud Platform BT - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022) PB - Atlantis Press SP - 220 EP - 224 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-044-2_29 DO - 10.2991/978-94-6463-044-2_29 ID - Xie2022 ER -