Spatio-temporal data warehouses using an adaptive cell-based approach

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• 作者：Wonik Choi ; Dongseop Kwon and Sangjun Lee
• 关键词：Spatio-temporal data warehouses ; Aggregation query ; Hilbert curve ; Prefix-sum ; -Cube
• 刊名：Data and Knowledge Engineering
• 出版年：2006
• 出版时间：October 2006
• 年：2006
• 卷：59
• 期：1
• 页码：189-207
• 全文大小：547 K

文摘

Most of the framework for supporting OLAP operations over immense amounts of spatio-temporal data is based on multi-tree structures. The multi-tree frameworks, however, are hardly applicable to spatio-temporal OLAP in practice, due mainly to high management costs and low query efficiency. To overcome the limitations of such multi-tree frameworks, we propose a new approach called -Cube (spatio-temporal cube), which is an adaptive cell-based, total-ordered and prefix-summed cube for spatio-temporal data warehouses. Our extensive performance studies show that the -Cube requires less space and achieves higher query performance than multi-tree frameworks, under various operational conditions.