SensorStream: a semantic real–time stream management system. (14th November 2012)

• Record Type: Journal Article
• Authors: Spanos, Dimitrios–Emmanuel; Stavrou, Periklis; Mitrou, Nikolas; Konstantinou, Nikolas
• Is Part Of: International journal of ad hoc and ubiquitous computing. Volume 11:Number 2/3(2012)
• Page Start: 178
• Page End: 193
• Publication Date: 2012-11-14
• Subjects: 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; Ubiquitous computing -- Periodicals; Embedded computer systems -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; Wireless communication systems -- Periodicals; Computer architecture -- Periodicals; 004.2
• Languages: English
• ISSNs: 1743-8225

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.