The Describing Of Sensing Device Platform Based On Hadoop Distributed Data Storage

Today, the advance in sensor technology and network technology make our lives more and more intelligent.At the same time, it brings huge amounts of data. Big data has many problems.It is hard for relational database dealing with big data. Therefore, working out an efficient mass data storage and data retrieval programs have become an important research topic for the current processing big data.A platform for distributed sensing device dealing with the high concurrency and large amounts of data is proposed in this thesis.The platform can analysis the data collected by sensors, converted to the data type which fixed by the database table,stored in the database.The platform implement the interface services by packaging statement, and then publish it.To solve the requirements of mass sensor network data storage,a sensing device platforms based on oracle database was proposed. We find some problem when relational databases deal with huge amounts of data. In order to solve these problems, we analysed and classified the big data of the sensor network and stored them by using relational database and HBase database.We find that HBase database has advantage in dealing with sensing control information,then we propose using Hadoop distributed storage technology to replace the relational Oracle database to address massive data storage issues and design a distributed sensing equipment platform web service interface for Hadoop distributed storage technolog. Finally we achieved the storage of the big data on distributed sensing device platform.