Title :
Balanced Spatio-Temporal Data Warehouse with R-MVB, STCAT and BITMAP Indexes
Author :
Gorawski, M. ; Gorawski, M.
Author_Institution :
Inst. of Comput. Sci., Silesian Univ. of Technol., Gliwice
Abstract :
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
Keywords :
data warehouses; database indexing; parallel databases; resource allocation; temporal databases; tree data structures; visual databases; BITMAP indexing structure; R-MVB indexing structure; STCAT indexing structure; aR-tree; balanced parallel spatio-temporal data warehouse; distributed telemetric data processing; Counting circuits; Data mining; Data warehouses; GSM; Indexing; Meter reading; Network servers; Resistance heating; Telemetry; Water heating;
Conference_Titel :
Parallel Computing in Electrical Engineering, 2006. PAR ELEC 2006. International Symposium on
Conference_Location :
Bialystok
Print_ISBN :
0-7695-2554-7
DOI :
10.1109/PARELEC.2006.21
