Various research communities use Grid technologies to connect themselves into
virtual organizations to share data and computer resources distributed
over different organizations and often situated at different sites. For example,
astronomers and astrophysicists join to various national and international virtual
observatories to drive distributed collaborative research forward.
To provide a stable, efficient, and flexible infrastructure for interconnecting these interdisciplinary e-science communities will be one of the next big challenges for computer science.
- Grid technologies
- XML data streams
- Distributed workflows
- Peer-to-Peer technologies in data stream systems
We are currently implementing a first prototype built upon the StreamGlobe project realizing distributed query processing. User-defined operators can be dynamically loaded and installed at several peers by specifying a query evaluation plan.
Within AstroGrid-D, we itensify our collaboration with the Max Planck Institutes for Astrophysics (MPA) and for Extraterrestrial Physics (MPE). For more details, see the following press release (in German).
- Richard Kuntschke, Tobias Scholl, Sebastian Huber, Alfons Kemper, Angelika Reiser, Hans-Martin Adorf, Gerard Lemson, and Wolfgang Voges
Grid-based Data Stream Processing in e-Science
Proceedings of the 2nd IEEE International Conference on e-Science and Grid Computing (eScience 2006),
December 4 - 6, 2006, Amsterdam, The Netherlands, p. 30
Presentation: [PowerPoint] · [PDF]
- Ina Schmitz
Optimierung von Datenbankanwendungen aus der Astronomie am Beispiel des ROSAT-Datenbankkatalogs
Diploma Thesis (in German), Technische Universität München, March 2006
- Sebastian Huber
Grid-based Processing of Multiple Data Streams in E-Science
Master's Thesis, Technische Universität München, October 2005
- Tobias Scholl
Distributed Processing of Data Streams in P2P Networks
Diploma Thesis, Universität Passau, September 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