Research and application of cloud data management technology based on MongoDB

Research and application of cloud data management technology based on MongoDB

Liu one dream of Beijing Jiaotong University

This paper introduces the concept, characteristics and theoretical basis of the NOSQL system under cloud computing environment, analyzes the design principle and characteristics of the mainstream NoSQL system, and compares the NoSQL system with the traditional relational database in the aspects of data schema, system architecture, read-write characteristics and scalability. Through analysis and comparison, it is concluded that the NoSQL system is superior to the traditional relational database for the storage and processing of massive data in cloud computing environment. Then taking MongoDB database as an example, the structure and principle of the high expansibility cluster are analyzed. This paper deeply studies the equalization algorithm used in automatic fragmentation cluster, in view of the problem of its data equalization algorithm, an improved data equalization algorithm based on data manipulation frequency equalization algorithm is proposed, and the algorithm is validated by experiments, and the improved algorithm improves the concurrent read-write performance of automatic slicing cluster. Finally, according to the existing problems of digital resource management system, this paper analyzes the feasibility of MongoDB database modeling, and designs and realizes a high reliable and high scale digital resource management system based on MongoDB. MongoDB's high scalability facilitates system expansion, laying the groundwork for system migration to the cloud computing environment.

Research and application of cloud data management technology based on MongoDB