SensorStream: a semantic real–time stream management system

Spanos, D.-E.; Stavrou, P.; Mitrou, N.

dc.contributor.author	Spanos, D.-E.	en
dc.contributor.author	Stavrou, P.	en
dc.contributor.author	Mitrou, N.	en
dc.date.accessioned	2014-03-01T02:14:56Z
dc.date.available	2014-03-01T02:14:56Z
dc.date.issued	2012	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30184
dc.subject	streaming data	en
dc.subject	sensor streams	en
dc.subject	semantic web	en
dc.subject	real-time processing	en
dc.title	SensorStream: a semantic real–time stream management system	en
heal.type	journalArticle	en
heal.identifier.primary	10.1504/IJAHUC.2012.050252	en
heal.identifier.secondary	http://dx.doi.org/10.1504/IJAHUC.2012.050252	en
heal.publicationDate	2012	en
heal.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.	en
heal.publisher	Interscience Publishers	en
heal.journalName	International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC)	en
dc.identifier.doi	10.1504/IJAHUC.2012.050252	en
dc.identifier.volume	11	en
dc.identifier.issue	2	en
dc.identifier.spage	178	en
dc.identifier.epage	193	en