Article in Proceedings INPROC-2013-29

BibliographyHong, Kirak; Lillethun, David; Ramachandran, Umakishore; Ottenwälder, Beate; Koldehofe, Boris: Opportunistic Spatio-temporal Event Processing for Mobile Situation Awareness.
In: Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems (DEBS).
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 195-206, english.
Arlington, Texas, USA: ACM Press, June 27, 2013.
DOI: 10.1145/2488222.2488266.
Article in Proceedings (Conference Paper).
CR-SchemaC.2.1 (Network Architecture and Design)
C.2.4 (Distributed Systems)
Keywordsmobility; complex event processing; situation awareness

With the proliferation of mobile devices and sensors, mobile situation awareness is becoming an important class of applications. The key requirement of this class of applications is low-latency processing of events stemming from sensordata in order to provide timely situational information to mobile users.To satisfy the latency requirement, we propose a spatio-temporal event processing system that uses prediction-based continuous query handling. Our system predicts future query regions for moving consumers and starts processing events early so that the live situational information is available when the consumer reaches the future location. In contrast to existing systems, our system provides timely information about a consumer's current position by hiding computation latency for processing recent events. To evaluate our system, we measure the quality of results and timeliness of live situational information with various query parameters. Our evaluation shows that we can achieve highly meaningful query results with near-zero latency in most cases.

Full text and
other links
PDF (278242 Bytes)
The original publication is available at ACM Digital Library
Copyright© ACM, 2013. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems, Arlington, Texas, USA, 2013.
Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems
Entry dateJune 5, 2013
   Publ. Department   Publ. Institute   Publ. Computer Science