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STAR-Tree: An Efficient Self-Adjusting Index for Moving Objects

  • Cecilia M. Procopiuc
  • Pankaj K. Agarwal
  • Sariel Har-Peled
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2409)

Abstract

We present a new technique called STAR-tree, based on R*-tree, for indexing a set of moving points so that various queries, including range queries, time-slice queries, and nearest-neighbor queries, can be answered efficiently. A novel feature of the index is that it is self-adjusting in the sense that it re-organizes itself locally whenever its query performance deteriorates. The index provides tradeoffs between storage and query performance and between time spent in updating the index and in answering queries. We present detailed performance studies and compare our methods with the existing ones under a varying type of data sets and queries. Our experiments show that the index proposed here performs considerably better than the previously known ones.

Keywords

Range Query Query Performance Indexing Technique Neighbor Query Answering Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    P. K. Agarwal, L. Arge, and J. Erickson, Indexing moving points, Proc. Annu. ACM Sympos. Principles Database Syst., 2000. 175–186.Google Scholar
  2. 2.
    P. K. Agarwal, J. Erickson, and L. J. Guibas, Kinetic BSPs for intersecting segments and disjoint triangles, Proc. 9th ACM-SIAM Sympos. Discrete Algorithms, 1998, pp. 107–116.Google Scholar
  3. 3.
    P. K. Agarwal and S. Har-Peled, Maintaining approximate extent measures of moving points, Proc. 12th ACM-SIAM Sympos. Discrete Algorithms, 2001.Google Scholar
  4. 4.
    L. Arge, R. Barve, D. Hutchinson, O. Procopiuc, L. Toma, D. E. Vengroff, and R. Wickeremesinghe, TPIE User Manual and Reference (edition 0.9.01b). Duke University, 1999. The manual and software distribution are available on the web at http://www.cs.duke.edu/TPIE/.
  5. 5.
    J. Basch, L. J. Guibas, and J. Hershberger, Data structures for mobile data, Proc. 8th ACM-SIAM Sympos. Discrete Algorithms, 1997, pp. 747–756.Google Scholar
  6. 6.
    N. Beckmann, H.-P. Kriegel, R. Schneider, and B. Seeger, The R*-tree: An efficient and robust access method for points and rectangles, Proc. ACM SIGMOD Conf. on Management of Data, 1990, pp. 322–331.Google Scholar
  7. 7.
    D. H. Douglas and T. K. Peucker, Algorithms for the reduction of the number of points required to represent a digitized line or its caricature, Canadian Cartographer, 10 (1973), pp. 112–122.Google Scholar
  8. 8.
    R. H. Güting, M. H. Böhlen, M. Erwig, C. S. Jensen, N. A. Lorentzos, M. Schneider, and M. Vazirgiannis, A foundation for representing and querying moving objects, ACM Trans. Database Systems, 25 (2000), pp. 1–42.CrossRefGoogle Scholar
  9. 9.
    M. I. Karavelas and L. J. Guibas, Static and kinetic geometric spanners with applications, Proc. 12th Annu. ACM-SIAM Sympos. Discrete Algorithms, 2001, pp. 168–176.Google Scholar
  10. 10.
    G. Kollios, D. Gunopulos, and V. J. Tsotras, On indexing mobile objects, Proc. Annu. ACM Sympos. Principles Database Syst., 1999, pp. 261–272.Google Scholar
  11. 11.
    S. Saltenis, C. S. Jensen, S. T. Leutenegger, and M. A. Lopez, Indexing the positions of continuously moving objects, Proc. ACM SIGMOD International Conference on Management of Data, 2000, pp. 331–342.Google Scholar
  12. 12.
    A. P. Sistla and O. Wolfson, Temporal conditions and integrity constraints in active database systems, Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data, 1995, pp. 269–280.Google Scholar
  13. 13.
    A. P. Sistla, O. Wolfson, S. Chamberlain, and S. Dao, Modeling and querying moving objects, Proc. Intl Conf. Data Engineering, 1997, pp. 422–432.Google Scholar
  14. 14.
    J. Tayeb, O. Ulusoy, and O. Wolfson, A quadtree-based dynamic attribute indexing method, The Computer Journal, (1998), 185–200.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Cecilia M. Procopiuc
    • 1
  • Pankaj K. Agarwal
    • 2
  • Sariel Har-Peled
    • 3
  1. 1.AT&T Research LabFlorham Park
  2. 2.Duke UniversityDurham
  3. 3.University of IllinoisUrbana

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