Hasso-Plattner-Institut
Prof. Dr. Tilmann Rabl
  
 

Publications

We try to keep an up to date list of all our publications. If you are interested in a PDF that we have not uploaded yet, feel free to send us an email to get a copy. All recent publications you will find below. For older, please click appropriate year.

Publications of the years 2020, 2019, 2018, 20172016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007

Optimized On-Demand Data Streaming from Sensor Nodes

Traub, Jonas; Breß, Sebastian; Rabl, Tilmann; Katsifodimos, Asterios; Markl, Volker in Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, September 24-27, 2017 Seite 586-597 . 2017 .

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.
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