Abstract
Moving-objects databases need a spatio-temporal indexing scheme for moving objects to efficiently process queries over continuously changing locations of the objects. A simple extension of the R-tree that employs time as the third dimension of the data universe shows low space utilization and poor search performance because of overlap** index regions. In this paper, we propose a variant of the 3-dimensional R-tree called the Adaptive 3DR-tree. The dynamic splitting policies of the Adaptive 3DR-tree significantly reduce the overlap rate, and this, in turn, results in improved query performance. The results of our extensive experiments show that the Adaptive 3DR-tree outperforms the original 3D R-tree and the TB-tree typically by a big margin.
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References
Guttman, A.: R-trees: A dynamic index structure for spatial searching. In: Proceedings of ACM SIGMOD Conference, pp. 47–54 (1984)
Theodoridis, Y., Vazirgiannis, M., Sellis, T.K.: Spatio-Temporal Indexing for Large Multimedia Applications. In: IEEE International Conference on Multimedia Computing and Systems, pp. 441–448 (1996)
Nascimento, M.A., Silva, J.R.O.: Towards historical R-trees. In: ACM symposium on Applied Computing, pp. 235–240 (1998)
Tao, Y., Papadias, D.: MV3R-Tree: A Spatio-Temporal Access Method for Timestamp and Interval Queries. In: Proceedings of the VLDB Conference, pp. 431–440 (2001)
Pfoser, D., Jensen, C.S., Theodoridis, Y.: Novel Approaches in Query Processing for Moving Objects. In: Proceedings of the VLDB Conference, pp. 395–406 (2000)
Beckmann, N., Kriegel, H.P.: The R*-tree: An Efficient and Robust Access Method for Points and Rectangles. In: Proceedings of ACM SIGMOD Conference, pp. 332–331 (1990)
Pfoser, D., Theodoridis, Y., Jensen, C.S.: Indexing Trajectories in Query Processing for Moving Objects, Chorochronos Technical Report, CH-99-3 (1999)
Theodoridis, Y., Silva, J.R.O., Nascimento, M.A.: On the Generation of Spatiotemporal Datasets. In: Güting, R.H., Papadias, D., Lochovsky, F.H. (eds.) SSD 1999. LNCS, vol. 1651, pp. 147–164. Springer, Heidelberg (1999)
Sellis, T.K., Roussopoulos, N., Faloutsos, C.: The R+-Tree: A Dynamic Index for Multi-Dimensional Objects. In: Proceedings of the VLDB Conference, pp. 507–518 (1987)
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© 2003 Springer-Verlag Berlin Heidelberg
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Jun, B., Hong, B., Yu, B. (2003). Dynamic Splitting Policies of the Adaptive 3DR-Tree for Indexing Continuously Moving Objects. In: MaÅ™Ãk, V., Retschitzegger, W., Å tÄ›pánková, O. (eds) Database and Expert Systems Applications. DEXA 2003. Lecture Notes in Computer Science, vol 2736. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45227-0_31
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DOI: https://doi.org/10.1007/978-3-540-45227-0_31
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