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Balanced Spatio-Temporal Data Warehouse with R-MVB, STCAT and BITMAP Indexes
Bialystok, Poland September 13-September 17
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PARELEC.2006.21International Symposium on Parallel C ...
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Marcin Gorawski, Silesian University of Technology, Poland
Michal Gorawski, Silesian University of Technology, Poland
In this article, we present new indexing and balancing methods used in parallel spatio-temporal data warehouse (B-PSTDW). Main motivation for designing the B-PSTDW system are unsatisfying results from exploitation of spatial data warehouse with cascaded star model indexed with aR-tree, which was used for distributed telemetric data processing (DSDW(t)). The DSDW(t) and B-PSTDW(t) services data from media counters (electricity, gas, heat and water). We present results of research on B-PSTDW system with new indexing structures: R-MVB, STCAT, and BITMAP.
Citation:
Marcin Gorawski, Michal Gorawski, "Balanced Spatio-Temporal Data Warehouse with R-MVB, STCAT and BITMAP Indexes," parelec, pp.43-48, International Symposium on Parallel Computing in Electrical Engineering (PARELEC'06), 2006
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