Abstract
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.
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Brochhaus, C., Seidl, T. (2008). IndeGSRI: Efficient View-Dependent Ranking in CFD Post- processing Queries with RDBMS. In: Ludäscher, B., Mamoulis, N. (eds) Scientific and Statistical Database Management. SSDBM 2008. Lecture Notes in Computer Science, vol 5069. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69497-7_44
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DOI: https://doi.org/10.1007/978-3-540-69497-7_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69476-2
Online ISBN: 978-3-540-69497-7
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