Research on the improvement of MongoDB Auto-Sharding in cloud environment

With the rapid development of the Internet Web 2.0 technology, the demands of large-scale distributed service and storage in cloud computing have brought great challenges to traditional relational database. NoSQL database which breaks the shackles of RDBMS is becoming the focus of attention. In this paper, the principles and implementation mechanisms of Auto-Sharding in MongoDB database are firstly presented, then an improved algorithm based on the frequency of data operation is proposed in order to solve the problem of uneven distribution of data in auto-sharding. The improved balancing strategy can effectively balance the data among shards, and improve the cluster´s concurrent reading and writing performance.