Balanced Spatio-Temporal Data Warehouse with R-MVB, STCAT and BITMAP Indexes

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