Research Article
Research on the Method of Massive Data Storage Management
@INPROCEEDINGS{10.4108/eai.27-10-2023.2342009, author={Wencheng Zhang and Chao Li and Junyi Duan}, title={Research on the Method of Massive Data Storage Management}, proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China}, publisher={EAI}, proceedings_a={ICEMBDA}, year={2024}, month={1}, keywords={data storage micro-service object storage}, doi={10.4108/eai.27-10-2023.2342009} }- Wencheng Zhang
Chao Li
Junyi Duan
Year: 2024
Research on the Method of Massive Data Storage Management
ICEMBDA
EAI
DOI: 10.4108/eai.27-10-2023.2342009
Abstract
With the deepening of informatization, the explosion of data generated by various industries presents data storage challenges due to data retention and the expectation of on-demand access to storage applications from any device.Based on the requirements of mass data storage, management and use, this paper proposes a distributed data storage architecture solution based on microservices, focusing on data storage, disaster recovery and backup capability, data consistency and data labeling.The solution is based on SpringCloud microservice architecture, MinIO object storage system, MySQL database and MangoDB database as data storage carriers, and uses SpringCloud+Vue front-end separation technology and Redis memory database high-performance data management and sharing technology.To realize the requirements of high-speed data storage and management, it provides a new idea for the storage and management of massive multi-format data.
