Research Article
Application and Implementation of Education Management System Based on Cloud Storage
@INPROCEEDINGS{10.1007/978-3-031-23950-2_14, author={Xia Lu}, title={Application and Implementation of Education Management System Based on Cloud Storage}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29--31, 2022, Proceedings, Part I}, proceedings_a={BIGIOT-EDU}, year={2023}, month={1}, keywords={Cloud storage Teaching data Management system}, doi={10.1007/978-3-031-23950-2_14} }- Xia Lu
Year: 2023
Application and Implementation of Education Management System Based on Cloud Storage
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-23950-2_14
Abstract
This paper studies the research and design of education management system based on cloud storage. Cloud storage is a storage strategy that gathers a large number of different types of storage devices in the network through application software to work together and jointly provide data storage services through cluster applications, distributed file systems and other functions. In the research on massive data storage of university education management system, we deeply study cloud storage technology, compare various data layout algorithms, and propose an improved data layout algorithm combined with consistent hash algorithm, improved consistent hash algorithm and sieve algorithm, so as to improve data access efficiency and meet the requirements of dynamic scalability of storage space of cloud storage platform, At the same time, a local duplicate data deletion algorithm according to the characteristics of teaching data is proposed to reduce the data redundancy. Information construction in Colleges and universities is the key factor to realize modern education. In the process of information construction in Colleges and universities, due to the similarity of teaching data, there are a lot of duplicate data between the education management systems independently built by colleges and universities, resulting in a great waste of storage resources, and the teaching data is growing exponentially, which brings great storage pressure to the traditional data center.
