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

Author

Liu, Yimeng ; Wang, Yizhi ; Jin, Yi

Author_Institution

Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China

fYear

2012

fDate

14-17 July 2012

Firstpage

851

Lastpage

854

Abstract

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.

Keywords

cloud computing; data handling; relational databases; storage allocation; Internet; MongoDB database; NoSQL database; RDBMS; Web 2.0 technology; autosharding mechanism implementation; balancing strategy improvement; cloud computing; cluster concurrent reading performance improvement; cluster concurrent writing performance improvement; data operation frequency; large-scale distributed service; large-scale distributed storage; relational database; uneven data distribution; Algorithm design and analysis; Cloud computing; Clustering algorithms; Distributed databases; Servers; Writing; Auto-Sharding; MongoDB; NoSQL; balance strategy;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education (ICCSE), 2012 7th International Conference on

Conference_Location

Melbourne, VIC

Print_ISBN

978-1-4673-0241-8

Type

conf

DOI

10.1109/ICCSE.2012.6295203

Filename

6295203