云计算环境下数据库冗余信息消解研究

Research on eliminating redundant database information in cloud computing environment

随着计算机技术的不断发展,数据库的应用已经越来越广泛,同时数据库中也会存在大量的冗余信息。冗余数据不仅占用了存储空间,还影响了数据库的性能和查询效率。因此,在计算环境下,对数据库冗余信息的消解研究显得尤为重要。文章旨在探讨计算环境下的数据库冗余信息消解技术,包括常用的冗余数据消解方法、消解算法的优缺点以及应用情况等方面,为数据库设计与优化提供参考。

With the continuous development of computer technology,the application of databases has become increasingly widespread,and there will also be a large amount of redundant information in databases.Redundant data not only occupies storage space,but also affects database performance and query efficiency.Therefore,in a computing environment,it is particularly important to study the elimination of redundant information in databases.This article aims to explore database redundancy information resolution techniques in computing environments,including commonly used redundancy data resolution methods,advantages and disadvantages of resolution algorithms,and applications,providing reference for database design and optimization.