TY - GEN
T1 - Grid-based data stream processing in e-Science
AU - Kuntschke, Richard
AU - Scholl, Tobias
AU - Huber, Sebastian
AU - Kemper, Alfons
AU - Reiser, Angelika
AU - Adorf, Hans Martin
AU - Lemson, Gerard
AU - Voges, Wolfgang
PY - 2006
Y1 - 2006
N2 - The field of e-science currently faces many challenges. Among the most important ones are the analysis of huge volumes of scientific data and the connection of various sciences and communities, thus enabling scientists to share scientific interests, data, and research results. These issues can be addressed by processing large data volumes on-thefly in the form of data streams and by combining multiple data sources and making the results available in a network. In this paper, we demonstrate how e-science can benefit from research in computer science in the field of data stream management. In particular, we are concerned with processing multiple data streams in grid-based peer-to-peer (P2P) networks. We introduce spatial matching, which is a current issue in astrophysics, as a real-life e-science scenario to show how a data stream management system (DSMS) can help in efficiently performing associated tasks. We describe our new way of solving the spatial matching problem and present some evaluation results. In the course of the evaluation, our DSMS StarGlobe proves to be a valuable computing platform for astrophysical applications.
AB - The field of e-science currently faces many challenges. Among the most important ones are the analysis of huge volumes of scientific data and the connection of various sciences and communities, thus enabling scientists to share scientific interests, data, and research results. These issues can be addressed by processing large data volumes on-thefly in the form of data streams and by combining multiple data sources and making the results available in a network. In this paper, we demonstrate how e-science can benefit from research in computer science in the field of data stream management. In particular, we are concerned with processing multiple data streams in grid-based peer-to-peer (P2P) networks. We introduce spatial matching, which is a current issue in astrophysics, as a real-life e-science scenario to show how a data stream management system (DSMS) can help in efficiently performing associated tasks. We describe our new way of solving the spatial matching problem and present some evaluation results. In the course of the evaluation, our DSMS StarGlobe proves to be a valuable computing platform for astrophysical applications.
UR - http://www.scopus.com/inward/record.url?scp=38449108865&partnerID=8YFLogxK
U2 - 10.1109/E-SCIENCE.2006.261114
DO - 10.1109/E-SCIENCE.2006.261114
M3 - Conference contribution
AN - SCOPUS:38449108865
SN - 0769527345
SN - 9780769527345
T3 - e-Science 2006 - Second IEEE International Conference on e-Science and Grid Computing
BT - e-Science 2006 - Second IEEE International Conference on e-Science and Grid Computing
T2 - e-Science 2006 - 2nd IEEE International Conference on e-Science and Grid Computing
Y2 - 4 December 2006 through 6 December 2006
ER -