A Method for Building Shared Massive Heterogeneous IoT Data Environment

With the rapid development of the Internet of Things (IoT), the IoT is characterized by a wide variety of data sources, large scale and heterogeneous structure. Those characteristics bring great difficulties to the storage and rapid retrieval of IoT data. By considering the common attributes of IoT data, based on plug-in ideas, combined with Redis and HBase, the paper proposes a framework named HSFRH-IoT, in order to build shared massive heterogeneous IoT data environment, which solves the problem of efficient storage and retrieval of massive heterogeneous IOT. Finally, the insertion and query performance of the proposed HSFRH-IoT framework is detailed tested, and the results shows that it has better performance than other RDBMS based solutions.