Stream Processing in Production-to-Business Software

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22nd International Conference on Data Engineering (ICDE'06)

Atlanta, Georgia

April 03-April 07

ISBN: 0-7695-2570-9

	ASCII Text	x
	Michael Cammert, Christoph Heinz, Jurgen Kramer, Tobias Riemenschneider, Maxim Schwarzkopf, Bernhard Seeger, Alexander Zeiss, "Stream Processing in Production-to-Business Software," Data Engineering, International Conference on, pp. 168, 22nd International Conference on Data Engineering (ICDE'06), 2006.

	BibTex	x
	@article{ 10.1109/ICDE.2006.148, author = {Michael Cammert and Christoph Heinz and Jurgen Kramer and Tobias Riemenschneider and Maxim Schwarzkopf and Bernhard Seeger and Alexander Zeiss}, title = {Stream Processing in Production-to-Business Software}, journal ={Data Engineering, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2570-9}, pages = {168}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDE.2006.148}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Engineering, International Conference on TI - Stream Processing in Production-to-Business Software SN - 0-7695-2570-9 SP EP A1 - Michael Cammert, A1 - Christoph Heinz, A1 - Jurgen Kramer, A1 - Tobias Riemenschneider, A1 - Maxim Schwarzkopf, A1 - Bernhard Seeger, A1 - Alexander Zeiss, PY - 2006 KW - null VL - 0 JA - Data Engineering, International Conference on ER -

Michael Cammert, University of Marburg, Germany

Christoph Heinz, University of Marburg, Germany

Jurgen Kramer, University of Marburg, Germany

Tobias Riemenschneider, University of Marburg, Germany

Maxim Schwarzkopf, University of Marburg, Germany

Bernhard Seeger, University of Marburg, Germany

Alexander Zeiss, University of Marburg, Germany

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDE.2006.148

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.

Citation:

Michael Cammert, Christoph Heinz, Jurgen Kramer, Tobias Riemenschneider, Maxim Schwarzkopf, Bernhard Seeger, Alexander Zeiss, "Stream Processing in Production-to-Business Software," icde, pp.168, 22nd International Conference on Data Engineering (ICDE'06), 2006

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