The evolution of Internet of Things and Information and Communication Technology is determined by systems’ ability to efficiently store and process massive amount of data connected with rapid flow of information. The smart devices creating Internet of Things produce massive amount of data, and while smart devices are independent, data analyst needs an effective mechanism to collect all these data, aggregate them and analyse. In this paper author presents Distributed Spatio- Temporal Data Warehouse systems as a platform to collect and analyse Internet of Things data such as smart sensor data and mobility data
BT - Studia Informatica DO - 10.21936/SI2017_V38.N4.822 LA - eng M1 - 4 N2 -The evolution of Internet of Things and Information and Communication Technology is determined by systems’ ability to efficiently store and process massive amount of data connected with rapid flow of information. The smart devices creating Internet of Things produce massive amount of data, and while smart devices are independent, data analyst needs an effective mechanism to collect all these data, aggregate them and analyse. In this paper author presents Distributed Spatio- Temporal Data Warehouse systems as a platform to collect and analyse Internet of Things data such as smart sensor data and mobility data
PY - 2017 SP - 5 EP - 18 T2 - Studia Informatica TI - Load Balancing and Processing Data From Internet of Things Smart Devices VL - 38 ER -