Title: SensorStream: a semantic real-time stream management system
Authors: Dimitrios-Emmanuel Spanos; Periklis Stavrou; Nikolas Mitrou; Nikolas Konstantinou
Addresses: School of Electrical and Computer Engineering, National Technical University of Athens, Zografou 157 73, Athens, Greece. ' School of Electrical and Computer Engineering, National Technical University of Athens, Zografou 157 73, Athens, Greece. ' School of Electrical and Computer Engineering, National Technical University of Athens, Zografou 157 73, Athens, Greece. ' Athens Information Technology, 19,5km Markopoulo Ave., Peania, Greece
Abstract: As data proliferates at increasing rates, the need for real-time stream processing applications increases as well. In the same way that Data Stream Management Systems (DSMS) have emerged from the database community, there is now a similar concern in managing dynamic knowledge among the Semantic Web community. Unfortunately, early relevant approaches are, to a large extent, theoretical and do not present convincing evidence of their efficiency in real dynamic environments. In this paper, we present a framework for the effective, real-time processing of streaming data and we define and analyse in depth its key components. Our framework serves as a basis for the implementation of the SensorStream prototype, on which we run numerous performance and scalability measurements that outline its behaviour and demonstrate its suitability and scalability for solutions that require real-time information processing from distributed and heterogeneous data sources.
Keywords: stream data; sensors; semantic management; data management; ontology; dynamic knowledge; scalable framework; real-time processing; streaming data; windowing; information processing; distributed sources; heterogeneity; performance measurement; semantic web.
DOI: 10.1504/IJAHUC.2012.050252
International Journal of Ad Hoc and Ubiquitous Computing, 2012 Vol.11 No.2/3, pp.178 - 193
Received: 03 Mar 2011
Accepted: 31 May 2011
Published online: 13 Nov 2012 *