Construction and Optimization of Cloud Sharing Platform for Ideological and Political Education Data Resources in Universities

Xiao Pingbu

Anshun University | Guizhou China

Abstract:  To better promote the sharing and learning of Ideological and political education resources in universities, this paper attempts to build a high-quality resource sharing platform based on cloud computing. We study the relevant learning theory under the background of the new education era, explain the shared learning mode in line with cloud computing, and analyze its new characteristics. Then the storage structure of teaching resources in cloud platform, hybrid database system integrating HBase and MySQL database advantages, and web system based on mainstream SSH2 framework in J2EE are designed. The distributed file system of Hadoop is adopted to store teaching resources, and a cloud teaching resource sharing platform based on Hadoop is realized. Finally, the optimization design is performed, and the benchmark test and comparative analysis of the platform are tested. The relevant conclusions about the optimization of teaching resource data storage on the cloud platform are acquired. It is concluded that the system functions meet the requirements, high security, easy-to-use and good performance.