ABSTRACT
In this paper, we motivate four different user defined window query classes and derive a probabilistic model for each of them. For each model, we characterize the efficiency of spatial data structures in terms of the expected number of data bucket accesses needed to perform a window query. Our analytical approach exhibits the performance phenomena independent of data structure and implementation details and whether the objects are points or non-point objects.
- 1.N. Beckmann, H.-P. Kriegel, R. Schneider, and B. Seeger. The R*-tree: an efficient and robust access method for points and rectangles. In Proc. A CM SIGMOD Int. Conf. on Management of Data, Atlantic City, 1990. Google ScholarDigital Library
- 2.M.W. Freeston. The BANG file: a new kind of grid file. In Proc. A CM SIGMOD Int. Conf. on the Management of Data, pages 260-169, San Francisco, 1987. Google ScholarDigital Library
- 3.O. Giinther. Efficient structures for geometric data management, volume 337 of Lecture Notes in Computer Science. Springer, Berlin, 1988. Google ScholarDigital Library
- 4.A. Guttman. R-trees: a dynamic index structure for spatial searching, in Proc. A CM SIGMOD lnt. Conf. on Management of Data, pages 47-57, Boston, 1984. Google ScholarDigital Library
- 5.A. Henrich, H.-W. Six, and P. Widmayer. The LSD- tree" spatial access to multidimensional point- and non-point objects. In 15th Int. Conf. on VLDB, pages 45-53, Amsterdam, 1989. Google ScholarDigital Library
- 6.A. Hutflesz, H.-W. Six, and P. Widmayer. The R-file: an efficient access structure for proximity queries. In Proc. 6th Int. Conf. on Data Engineering, pages 372-379, Los Angeles, 1990. Google ScholarDigital Library
- 7.J. Nievergelt, H. Hinterberger, and K.C. Sevcik. The grid file: an adaptable, symmetric multikey file structure. A CM Transactions on Database Systems, 9(1):3S-71, 1984. Google ScholarDigital Library
- 8.B. Seeger and H.-P. Kriegel. The buddy-tree: an efficient and robust access method for spatial data base systems. In 16th Int. Conf. on VLDB, pages 590-601, Brisbane, 1990. Google ScholarDigital Library
Index Terms
- Towards an analysis of range query performance in spatial data structures
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