地区城商银行国产分布式数据库应用实践与探索  

Research on the Application Practice and Exploration of Domestic Distributed Database in Regional Urban Commercial Banks

作　　者：舒骏 Shu Jun(Zhejiang Mintai Commercial Bank,Hangzhou 310000)

机构地区：[1]浙江民泰商业银行,浙江杭州310000

出　　处：《中阿科技论坛（中英文）》2024年第5期53-57,共5页China-Arab States Science and Technology Forum

摘　　要：随着互联网金融的发展,金融业务对银行核心数据存储提出越来越高的要求,但目前集中式的存储结构无法解决地区城市商业银行的多业务并发、资源分配不均、运行成本高昂等问题。基于此,文章结合分布式数据存储的相对优势,介绍了在浙江民泰商业银行应用国产分布式数据库的实践关键技术,并针对分布式数据库在地区城市商业银行业务场景下多容器数据协同服务的效率瓶颈问题,结合群体智能算法进行了深入探究和讨论,以期提高分布式数据库的数据响应效率。With the advancement of Internet finance,financial business puts forward higher and higher requirements for the storage of core data.Nevertheless,the current centralized storage structure cannot address the issues such as multi-services concurrency,uneven resource allocation,high operating costs of urban commercial banks.To this end,the article introduces the key practical technologies of applying domestic distributed databases in Zhejiang Mintai Commercial Bank with reference to the merits of distributed data storage,and conducts an in-depth investigation to tackle efficiency bottleneck of multi-container data collaborative services in conjunction with the swarm intelligence algorithms,with a view to enhancing the data response efficiency.

关 键 词：分布式数据库 多业务场景 DOCKER 群体智能算法 

分 类 号：F21[经济管理—国民经济]