About the Workshop:
The Stream Reasoning Workshop took place from January 16th to 17th, 2018.
Processing, querying and reasoning over streaming data is studied in different communities such as KR&R, Semantic Web, Databases, Stream Processing, Complex Event Processing, etc., where researchers have different perspectives and face different challenges.
This workshop aims at advancing Stream Reasoning as research theme by bringing together these different views and goals. In addition to invited talks, the workshop will provide opportunities for all participants to engage in discussions on open problems and future directions.
About the Talk:
Real-time sensor data enables diverse applications such as smart metering, traffic monitoring, and sport analysis. In the Internet of Things, billions of sensor nodes form a sensor cloud and offer data streams to analysis systems. However, it is impossible to transfer all available data with maximal frequencies to all applications. Therefore, we need to tailor data streams to the demand of applications. We contribute a technique that optimizes communication costs while maintaining the desired accuracy. Our technique schedules reads across huge amounts of sensors based on the data-demands of a huge amount of concurrent queries. We introduce user-defined sampling functions that define the data-demand of queries and facilitate various adaptive sampling techniques, which decrease the amount of transferred data. Moreover, we share sensor reads and data transfers among queries. Our experiments with real-world data show that our approach saves up to 87% in data transmissions.