A Database Cluster System Framework for Managing Massive Sensor Sampling Data in the Internet of Things

In recent years,the Internet of Things(IoT) has become increasingly important and is changing the way how people live and work.IoT has a lot of benefits and meanwhile,it also brings about great challenges to the software and the whole IT community.In this paper,we mainly focus on the challenges in IoT data management.In IoT systems,the data sampled from sensors are massive and heterogeneous.Besides,they are spatial-temporal and dynamically changing stream data.To meet these challenges,we propose an IoT Database Cluster System Framework for Managing Massive Sensor Sampling Data(IoT-ClusterDB) in this paper.The experimental results show that IoT-ClusterDB has satisfactory sensor data uploading and query processing performances and thus provides a good solution for managing and querying massive sensor data in the Internet of Things.