IndeGSRI : Efficient View-dependent Ranking in CFD Post-processing Queries with RDBMS

Computational fluid dynamics (CFD) linked with virtual reality (VR) visualization techniques offer comfortable means to explore interaction of fluids and gases with complex surfaces in the field of engineering or physics amongst others. Huge data sets, in the range of many gigabytes, require sophisticated storage schemes to enable efficient access during post-processing.
In this paper we introduce approximate geometric ranking methods for CFD data using off-the-shelf RDBMS by significantly extending the efficient indexing structure RI-tree. We further present preliminary, but very promising performance results of our ongoing research.
Authors: Brochhaus C., Seidl T.
Published in: Proceedings of the 20th International Conference on Scientific and Statistical Database Management (SSDBM 2008), Hong Kong, China
Publisher: Springer - Heidelberg, Germany
Sprache: EN
Jahr: 2008
Seiten: 598-604
ISBN: 978-3-540-69476-2
Konferenz: SSDBM
DOI:10.1007/978-3-540-69497-7_44
URL:SSDBM 2008
Springer LNCS 5069
Typ: Tagungsbeiträge
Forschungsgebiet: Fast Access to Complex Data