分布式数据库在金融应用场景中的探索与实践

doi:10.11959/j.issn.2096-0271.2019006

Big Data Research ›› 2019, Vol. 5 ›› Issue (1): 77-86.doi: 10.11959/j.issn.2096-0271.2019006

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Exploration and applications of distributed database in financial area

Lei LIU¹,Zhijun GUO¹,Haixin MA¹,Qiong ZHAO¹,Huiqi HU²,Peng CAI²,Hongtao DU³,Aoying ZHOU²,Zhanhuai LI³

¹ Center of Software Development, Bank of Communications, Shanghai 201201, China
² School of Data Science and Engineering, East China Normal University, Shanghai 200062, China
³ Institute of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China

Online:2019-01-01 Published:2019-02-01
Supported by:
The National Natural Science Foundation of China(No.61332006);The National Natural Science Foundation of China(No.61432006);The National High Technology Research and Development Program of China(863 Program)(No.2015AA015307)

Abstract

Abstract:

The rapid development of the financial technology has put forward great challenge to the database systems in bank. Specific system features, such as high performance, scalability, high availability and fault tolerance, were demanded. The traditional database systems are difficult to meet these requirements at the same time. In response to these challenges and meet the need of government, which calls for the “independent control of those core technology”, the Bank of Communications focuses on developing a new generation of database systems that support mission-critical banking transactions. A distributed database system with high performance, scalability, high availability and fault-tolerant characteristics was implemented by developing the lightweight distributed election protocol and distributed transaction, and it was applied to a number of important applications.

Key words: distributed database, CBASE, high available, fault-tolerance, scalability

CLC Number:

TP315

Lei LIU, Zhijun GUO, Haixin MA, Qiong ZHAO, Huiqi HU, Peng CAI, Hongtao DU, Aoying ZHOU, Zhanhuai LI. Exploration and applications of distributed database in financial area[J]. Big Data Research, 2019, 5(1): 77-86.

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Exploration and applications of distributed database in financial area

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