Applications and implementation of decomposition storage model (DSM) in paas of agricultural

Abstract

With involvement and the popularization of the Internet of things and cloud computing technology in the modern information agriculture, RDBMS has been difficult to resolve perception storage and analysis of mass data in Internet of things.big data storage and computing are a hotspot and difficulty of research on agriculture cloud computing in recent years. This article is based on agricultural cloud Paas platform, rural areas and farmers services to designe and implemente a distributed storage of large-scale data of perception using the DSM and distributed file system. While providing services of vast agricultural data of perception storage and analysis through agriculture Paas platform, while implementing agricultural cloud computing. DSM is designed based on Hbase as a mass of NoSql database which provides real-time efficient reading and writing, high scalability and high availability. DSM is deploied on the distributed file system of Hadoop which is based on HDFS. While MapReduce of hadoop can provide high-speed large file analysis and processing. Experiments indicate that the DSM technology based on application of agricultural Paas can meet requirement of the perceptive big data, strong scalability and so on.