IOT-StatisticDB: A General Statistical Database Cluster Mechanism for Big Data Analysis in the Internet of Things
Zhiming Ding, Xu Liang Gao, Jiajie Xu, Hong Lin Wu · 2013
In large scale Internet of Things (IoT) systems, statistical analysis is a crucial technique for transforming data into knowledge and for obtaining overall information about the physical world. However, most existing statistical analysis methods for sensor sampling data are implemented outside the database kernel and focus on specialized analytics, making them unsuited for the IoT environment where both the data types and the statistical queries are diverse. To solve this problem, we propose a General Statistical Database Cluster Mechanism for Big Data Analysis in the Internet of Things (IOT-StatisticDB) in this paper. In IOT-StatisticDB, statistical functions are performed through statistical operators inside the DBMS kernel, so that complicated statistical queries can be expressed in the standard SQL format. Besides, statistical analysis is executed in a distributed and parallel manner over multiple servers so that the performance can be greatly improved, which is confirmed by the experiments.