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22nd International Conference on Data Engineering (ICDE'06)
Stream Processing in Production-to-Business Software
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
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@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
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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