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

fYear

2006

fDate

13-17 Sept. 2006

Firstpage

43

Lastpage

48

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel Computing in Electrical Engineering, 2006. PAR ELEC 2006. International Symposium on

Conference_Location

Bialystok

Print_ISBN

0-7695-2554-7

Type

conf

DOI

10.1109/PARELEC.2006.21

Filename

1698635