Data Management for Internet of Things

Internet of Things is projected to connect uniquely identifiable devices over the network to build an interactive system with high velocity and volume of data placing forth a challenge of interoperability between such devices. RDF provides a common standard for communication among devices of network and supports powerful data inference. The paper addresses the challenge of handling huge sensor data interactively using RDF. The experiment includes various RDF storage mechanisms such as triple store, property table, vertically and horizontally partitioned table, column store, and data aware hybrid storage. It also shows comparison between vertical partitioning approach and data aware hybrid storage approach for faster data retrieval in IOT systems. The experiment shows 12% of performance improvement using hybrid approach over vertical partitioning approach. It also represents a set of metrics which have been designed to take decision for using appropriate RDF data storage technique beforehand for IOT systems.