海量农业科学数据存储体系架构与方法研究

Research on storage architecture and method for big agricultural scientific data

为了解决应用传统数据库架构存储和管理分散而海量的农业数据存储能力不足和管理困难的问题,在Hadoop框架下研究了面向海量农业数据的分布式计算与存储技术,提出了基于Hadoop的相邻区域边缘化存储和混合式索引分布与检索技术。测试和实验结果证明,应用这种技术所构建的分布式存储系统,能很好地实现对海量农业数据的存储和管理。

To solve the problem of insufficient storage capacity and hard to manage fordispersed and massive agriculturaldata in traditionaldatabase schema,the peper studied the technology ofdistributed computing and storage under the framework of Hadoop,and the method of adjacent marginalized storage based on Hadoop and the technology of hybrid indexdistribution and proposed retrieval.Test and practice results showed that the system established with this method,could provide a technicaldirection for efficient organization and management of massive agriculturaldata.