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New data-intensive applications where the data is not modeled as persistent
relations but rather as transient data streams become more and more important.
Examples of such applications are monitoring financial, network, or telecommunications
data, processing of data delivered by sensor networks, and
others. New techniques are needed for these applications as
the data stream model is incompatible with many traditional
query processing techniques because of the possibly unbounded size and read-once
nature of data streams.
- XML data streams
- Semantics of data streams and new data stream operators
- Application of traditional query operators on data streams
- Efficient dissemination of data streams
- Continuous queries on data streams and routing of data streams
- Query optimization and execution in the presence of data
streams
- Architecture of distributed data stream processing systems
- Peer-to-Peer technologies in data stream systems
We are currently implementing a first distributed data stream management system.
It will serve as the research platform for future and current research directions
mentioned above.
- Richard Kuntschke and Alfons Kemper
Data Stream Sharing
Current Trends in Database Technology - EDBT 2006
EDBT 2006 Workshop PhD, DataX, IIDB, IIHA, ICSNW, QLQP, PIM, PaRMa, and Reactivity on the Web, Munich, Germany, March 26-31, 2006, Revised Selected Papers
Lecture Notes in Computer Science (LNCS), Vol. 4254, pp. 769-788
- Richard Kuntschke and Alfons Kemper
Data Stream Sharing
Proceedings of the 2nd International Workshop on Pervasive Information Management (PIM 2006),
March 30, 2006, Munich, Germany
Presentation: [PowerPoint] · [PDF]
- Richard Kuntschke, Bernhard Stegmaier, and Alfons Kemper
Data Stream Sharing
Technical Report TUM-I0504, Technische Universität München, April 2005
- Richard Kuntschke, Bernhard Stegmaier, Franz Häuslschmid,
Angelika Reiser, Alfons Kemper, Hans-Martin Adorf, Harry Enke,
Gerard Lemson and Wolfgang Voges
Datenstrom-Management für e-Science mit StreamGlobe
Datenbank-Spektrum,
Vol. 4, No. 11, November 2004, pp. 14-22
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- Efficient dissemination of data
streams in a distributed Publish&Subscribe architecture
- Processing and optimizing
queries on structured data streams
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- Benjamin Gufler
- Prof. Alfons Kemper, Ph.D.
- Richard Kuntschke
- Dr. Angelika Reiser
- Tobias Scholl
- Atanas Gegov
- Valentin Georgiev Shopov
- Markus Ast
- Thomas Bachmann
- Pawel Brzakala
- Bo Feng
- Andreas Fuchs
- Markus Gerstel
- Franz Häuslschmid
- René Pfeuffer
- Stefan Puchner
- Alfons Ruch
- Michael Seibold
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