基于集群数据库技术的海量熵数据存储方案

Storage Scheme of Mass Entropy Data Based on Database Cluster Technology

介绍了熵数据的基本概念,提出了利用数据库集群技术解决大型企业海量熵数据存储的方案。该方案采用微机构建数据库集群来取代大型企业的高档数据库服务器,且集群能无限扩充。采用该方案后企业大型信息系统可以像使用一般的关系数据库一样使用集群熵数据库。该方案不仅能够对大型企业海量的熵数据进行有效的存储和管理,而且能为企业节省大量的系统扩容成本。

The basic concept of entropy data is introduced, and the scheme for solving the mass entropy data storage of large-scale enterprise by using database cluster technology is put forward. This scheme constructs database cluster to replace high-grade database server in large-scale enterprise by utilizing PC, and the cluster can be expanded unlimitedly. After implementing the scheme, large enterprise information system can use cluster entropy database like common relational database. The scheme can not only store and manage the mass entropy data of large-scale enterprise effectively, but also save a lot on system expansion cost for enterprises.