Data Management

An Optimization Technique for Spatial Compound Joins Based on a Topological Relationship Query and Buffering Analysis in DSDBs with Partitioning Fragmentation

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Executive Summary

Spatial Partitioning Fragmentation (SPF) is a popular method to partition data in Distributed Spatial DataBases (DSDBs). The issue of cross-border queries is an inherent problem however with distributed spatial data queries based on partitioning fragmentation given a continuity and strong correlation of geospatial data. In the case of partitioning fragmentation, a global spatial join can be translated into multiple sub-joins, and then divided into 2 groups: Cross-Border Joins (CBJs) and Non-Cross-Border Joins (NCBJs). The CBJ approach is essential for process efficiency in a distributed spatial query. A compound join based on a topological relationship inquiry and a buffering analysis is a crucial class of spatial queries.

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