OCEANUS: a spatio-temporal data stream system prototype

  • Authors:
  • Zdravko Galić;Emir Mešković;Krešimir Križanović;Mirta Baranović

  • Affiliations:
  • University of Zagreb, Zagreb, Croatia;University of Tuzla, Tuzla, BiH;University of Zagreb, Zagreb, Croatia;University of Zagreb, Zagreb, Croatia

  • Venue:
  • Proceedings of the Third ACM SIGSPATIAL International Workshop on GeoStreaming
  • Year:
  • 2012

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Abstract

Recent advances in wireless communication, miniaturization of spatially enabled devices and global navigation satellite systems (GNSS) services have resulted in a large number of novel application domains. Applications in these novel domains (moving objects tracking, sensor networks, fleet management, real-time intelligent transportation systems, etc.) process huge volume of continuous streaming data, i.e. data that is produced incrementally over time, rather than being available in full before processing. Data stream management systems (DSMS) have been developed to manage continuous data streams. Usually based on relational paradigm, they have rudimentary support for spatial data. Recent research efforts in data stream management systems focus mainly on processing continuous queries over traditional data streams, and only a few papers addressed spatio-temporal continuous queries. In this paper we present OCEANUS, an ongoing effort to extend TelegraphCQ DSMS with spatial support providing a platform for spatio-temporal streaming applications.