Stream Processing in Production-to-Business Software

Authors:
Michael Cammert;Christoph Heinz;Jurgen Kramer;Tobias Riemenschneider;Maxim Schwarzkopf;Bernhard Seeger;Alexander Zeiss
Affiliations:
University of Marburg, Germany;University of Marburg, Germany;University of Marburg, Germany;University of Marburg, Germany;University of Marburg, Germany;University of Marburg, Germany;University of Marburg, Germany
Venue:
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Year:
2006

Citing 0
Cited 3

SOLE: scalable on-line execution of continuous queries on spatio-temporal data streams

The VLDB Journal — The International Journal on Very Large Data Bases
About adopting event processing in manufacturing

ServiceWave'10 Proceedings of the 2010 international conference on Towards a service-based internet
Dynamic plan migration for snapshot-equivalent continuous queries in data stream systems

EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

In order to support continuous queries over data streams, a plethora of suitable techniques as well as prototypes have been developed and evaluated in recent years. In particular, it is of utmost importance to confirm their necessity and feasibility in real-world applications. For that reason, we have successfully coupled our infrastructure for data stream processing (PIPES) with an industrial Production-to-Business software (i-Plant) dedicated to highly automated manufacturing processes.