Proceedings of the VLDB Endowment · 2008 · 87 citations · 19 references
ComputingComputer ScienceData StructuresDatabasesStorage SystemsDatabase ManagementHash TablesQuery OptimizationQuery ProcessingIndex DesignIndex ManagementIndex OptimizationIndexed DatabaseIndexesIndexingMoving Object DatabasesQuery Evaluation
Progress in science and engineering depends on detailed measurement of artifact properties, and database‑index design requires empirical studies of prototype implementations. This paper proposes a benchmark that targets techniques for indexing the current and near‑future positions of moving objects. The benchmark enables comparison of existing and future indexing techniques, covering update efficiency, query efficiency, concurrency control, and storage requirements—features not previously benchmarked. Applying the benchmark to half a dozen notable moving‑object indexes demonstrates its viability and provides new insight into their performance properties.
Progress in science and engineering relies on the ability to measure, reliably and in detail, pertinent properties of artifacts under design. Progress in the area of database-index design thus relies on empirical studies based on prototype implementations of indexes. This paper proposes a benchmark that targets techniques for the indexing of the current and near-future positions of moving objects. This benchmark enables the comparison of existing and future indexing techniques. It covers important aspects of such indexes that have not previously been covered by any benchmark. Notable aspects covered include update efficiency, query efficiency, concurrency control, and storage requirements. Next, the paper applies the benchmark to half a dozen notable moving-object indexes, thus demonstrating the viability of the benchmark and offering new insight into the performance properties of the indexes.
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The R*-tree: an efficient and robust access method for points and rectangles
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