article

Main Memory Evaluation of Monitoring Queries Over Moving Objects

Authors:

Dmitri V. Kalashnikov,

Sunil Prabhakar,

Susanne E. HambruschAuthors Info & Claims

Distributed and Parallel Databases, Volume 15, Issue 2

Pages 117 - 135

https://doi.org/10.1023/B:DAPD.0000013068.25976.88

Published: 01 March 2004 Publication History

Abstract

In this paper we evaluate several in-memory algorithms for efficient and scalable processing of continuous range queries over collections of moving objects. Constant updates to the index are avoided by query indexing. No constraints are imposed on the speed or path of moving objects or fraction of objects that move at any moment in time. We present a detailed analysis of a grid approach which shows the best results for both skewed and uniform data. A sorting based optimization is developed for significantly improving the cache hit-rate. Experimental evaluation establishes that indexing queries using the grid index yields orders of magnitude better performance than other index structures such as R*-trees.

References

[1]

1. S. Acharya, R. Alonso, M.J. Franklin, and S.B. Zdonik, "Broadcast disks: Data management for asymmetric communications environments," in Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data, 22-25 May, 1995, pp. 199-210.

Digital Library

[2]

2. P.K. Agarwal, L. Arge, and J. Erickson, "Indexing moving points." in Proceedings of the Nineteenth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, Dallas, Texas, USA, May 15- 17, 2000.

Digital Library

[3]

3. B. Becker, S. Gschwind, T. Ohler, B. Seeger, and P. Widmayer, "An asymptotically optimal multiversion B-tree," The VLDB Journal, vol. 5, no. 4, pp. 264-275, 1996.

Digital Library

[4]

4. P. Bernstein et al., "The asilomar report on database research," SIGMOD Record, vol. 27, no. 4, pp. 74-80, 1998.

Digital Library

[5]

5. R. Cheng, D. V. Kalashnikov, and S. Prabhakar, "Querying imprecise data in moving object environments," TKDE, IEEE Transactions on Knowledge and Data Engineering, 2003 (conditionally accepted).

Digital Library

[6]

6. R. Cheng, S. Prabhakar, and D.V. Kalashnikov, "Querying imprecise data in moving object environments," in ICDE'03, Proc. of the 19th IEEE International Conference on Data Engineering, Bangalore, India, March 5-8, 2003.

[7]

7. L. Forlizzi, R.H. Guting, E. Nardelli, and M. Scheider, "A data model and data structures for moving objects databases," in Proc. of ACM SIGMOD Conf., Dallas, Texas, May 2000.

Digital Library

[8]

8. R.H. Guting, M.H. Bohlen, M. Erwig, C.S. Jensen, N.A. Lorentzos, M. Schneider, and M. Vazirgiannis, "A foundation for representing and querying moving objects," ACM Transactions on Database Systems, 2000 (to appear).

Digital Library

[9]

9. S.E. Hambrusch, C.-M. Liu, W. Aref, and S. Prabhakar, "Minimizing broadcast costs under edge reductions in tree networks," in 7th International Symposium on Spatial and Temporal Databases (SSTD 2001), July 2001.

[10]

10. Q. Hu, W.-C. Lee, and D.L. Lee, "Power conservative multi-attribute queries on data broadcast," in Proceedings of the International Conference on Data Engineering (ICDE), 2000, pp. 157-166.

Digital Library

[11]

11. T. Imielinski, S. Viswanathan, and B.R. Badrinath, "Energy efficient indexing on air," in Proceedings of the International Conference on Management of Data, Richard T. Snodgrass and Marianne Winslett (Ed.), ACM Press, May 1994, pp. 25-36.

Digital Library

[12]

12. D.V. Kalashnikov and S. Prabhakar, "Similarity join for low- and high-dimensional data," in DASFAA'03, Proc. of the 8th International Conference on Database Systems for Advanced Applications, Kyoto, Japan: IEEE Computer Society Press, March 26-28, 2003.

Digital Library

[13]

13. D.V. Kalashnikov, S. Prabhakar, W. Aref, and S. Hambrusch, "Efficient evaluation of continuous range queries on moving objects," Technical Report TR 02-015, Department of Computer Science, Purdue University, West Lafayette, IN 47907, June 2002.

[14]

14. K. Kim, S.K. Cha, and K. Kwon, "Optimizing multidimensional index trees for main memory access," in SIGMOD'01, Proc. of ACM SIGMOD Int. Conf. on Management of Data, Santa Barbara, CA, USA, May 21-24, 2001.

Digital Library

[15]

15. G. Kollios, D. Gunopulos, and V.J. Tsotras, "On indexing mobile objects," in Proc. 1999 ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS), Philadelphia, June 1999.

Digital Library

[16]

16. H. Koshima and J. Hoshen, "Personal locator services emerge," IEEE Spectrum, vol. 37, no. 2, pp. 41-48, 2000.

Digital Library

[17]

17. A. Kumar, V.J. Tsotras, and C. Faloutsos, "Designing access methods for bitemporal databases," IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 10, no. 1, pp. 1-20, 1998.

Digital Library

[18]

18. D. Pfoser and C.S. Jensen, "Capturing the uncertainty of moving-objects representations," in Proceedings of the SSDBM Conf., 1999, pp. 123-132.

Digital Library

[19]

19. D. Pfoser, C.S. Jensen, and Y. Theodoridis, "Novel approaches in query processing for moving objects," in Proceedings of the 26th International Conference on Very Large Databases (VLDB), Cairo, Egypt, Sept. 2000.

Digital Library

[20]

20. D. Pfoser, Y. Theodoridis, and C.S. Jensen, "Indexing trajectories of moving point objects" Technical Report CH-99-3, Chorochronos Technical Reprot, June 1999.

[21]

21. S. Prabhakar, Y. Xia, D. Kalashnikov, W. Aref, and S. Hambrusch, "Query indexing and velocity constrained indexing: Scalable techniques for continuous queries on moving objects," IEEE Transactions on Computers, vol. 51, no. 10, pp. 1124-1140, 2002.

Digital Library

[22]

22. J. Rao and K.A. Ross, "Making B<sup>+</sup>-trees cache conscious in main memory," in Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, Weidong Chen, Jeffrey F. Nanghton, and Philip A. Bernstein (Eds.), Dallas, Texas, USA, May 2000, pp. 475-486.

Digital Library

[23]

23. S. Saltenis, C. Jensen, S. Leutenegger, and M. Lopez, "Indexing the position of continuously moving objects," in Proceedings of ACM SIGMOD Conference, Dallas, Texas, May 2000.

Digital Library

[24]

24. A.Y. Seydim, M.H. Dunham, and V. Kumar, "Location dependent query processing," in MobiDEí01, Second ACM International Workshop on Data Engineering for Mobile and Wireless Access, Santa Barbara, California, USA, May 2001.

Digital Library

[25]

25. A.P. Sistla, O. Wolfson, S. Chamberlain, and S. Dao, "Modeling and querying moving objects," in Proceedings of the Fourteenth International Conference on Data Engineering (ICDE'97), 1997, pp. 422-432.

Digital Library

[26]

26. J. Tayeb, Ö. Ulusoy, and O. Wolfson, "A quadtree-based dynamic attribute indexing method," The Computer Journal, vol. 41, no. 3, pp. 185-200, 1998.

[27]

27. US Wireless Corp, "The market potential of the wireless location industry," http://www.uswcorp.com/ USWCMainPages/laby.htm.

[28]

28. O. Wolfson, S. Chamberlain, S. Dao, L. Jiang, and G. Mendez, "Cost and imprecision in modeling the position of moving objects," in Proceedings of the Fourteenth International Conference on Data Engineering (ICDE'98), Orlando, FL, February 1998.

Digital Library

[29]

29. O. Wolfson, P.A. Sistla, S. Chamberlain, and Y. Yesha, "Updating and querying databases that track mobile units," Distributed and Parallel Databases, vol. 7, no. 3, pp. 257-387, 1999.

Digital Library

[30]

30. O. Wolfson, B. Xu, S. Chamberlain, and L. Jiang, "Moving objects databases: Issues and solutions," in Proceedings of the SSDBM Conf., 1998, pp. 111-122.

Digital Library

Cited By

Michalopoulos ATsitsigkos DBouros PMamoulis NTerrovitis M(2024)Efficient Distance Queries on Non-point DataACM Transactions on Spatial Algorithms and Systems10.1145/369819411:1(1-37)Online publication date: 2-Oct-2024
https://dl.acm.org/doi/10.1145/3698194
Tsitsigkos DBouros PLampropoulos KMamoulis NTerrovitis M(2024)Two-Layer Space-Oriented Partitioning for Non-Point DataIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2023.329797536:3(1341-1355)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1109/TKDE.2023.3297975
Michalopoulos ATsitsigkos DBouros PMamoulis NTerrovitis MRenz MNascimento M(2023)Efficient Nearest Neighbor Queries on Non-point DataProceedings of the 31st ACM International Conference on Advances in Geographic Information Systems10.1145/3589132.3625609(1-4)Online publication date: 13-Nov-2023
https://dl.acm.org/doi/10.1145/3589132.3625609
Show More Cited By

Index Terms

Recommendations

Indexing moving objects for directions and velocities queries

Moving object databases are required to support different types of queries with a large number of moving objects. New types of queries namely directions and velocity queries (DV queries), are to be supported and covered. The TPR-tree and its successors ...
Incremental Processing of Continual Range Queries over Moving Objects

Efficient processing of continual range queries over moving objects is critically important in providing location-aware services and applications. A set of continual range queries, each defining the geographical region of interest, can be periodically (...
Fast Nearest-Neighbor Query Processing in Moving-Object Databases

A desirable feature in spatio-temporal databases is the ability to answer future queries, based on the current data characteristics (reference position and velocity vector). Given a moving query and a set of moving objects, a future query asks for the ...

Comments

Information & Contributors

Information

Published In

cover image Distributed and Parallel Databases

Distributed and Parallel Databases Volume 15, Issue 2

March 2004

82 pages

ISSN:0926-8782

Issue’s Table of Contents

Copyright © Copyright © 2004 Kluwer Academic Publishers.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 March 2004

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

46
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 03 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Michalopoulos ATsitsigkos DBouros PMamoulis NTerrovitis M(2024)Efficient Distance Queries on Non-point DataACM Transactions on Spatial Algorithms and Systems10.1145/369819411:1(1-37)Online publication date: 2-Oct-2024
https://dl.acm.org/doi/10.1145/3698194
Tsitsigkos DBouros PLampropoulos KMamoulis NTerrovitis M(2024)Two-Layer Space-Oriented Partitioning for Non-Point DataIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2023.329797536:3(1341-1355)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1109/TKDE.2023.3297975
Michalopoulos ATsitsigkos DBouros PMamoulis NTerrovitis MRenz MNascimento M(2023)Efficient Nearest Neighbor Queries on Non-point DataProceedings of the 31st ACM International Conference on Advances in Geographic Information Systems10.1145/3589132.3625609(1-4)Online publication date: 13-Nov-2023
https://dl.acm.org/doi/10.1145/3589132.3625609
Moti MSimatis PPapadias D(2022)WaffleProceedings of the VLDB Endowment10.14778/3574245.357425316:4(670-683)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.14778/3574245.3574253
Chaudhry NYousaf MKhan M(2020)Indexing of real time geospatial data by IoT enabled devicesJournal of Ambient Intelligence and Smart Environments10.3233/AIS-20056512:4(281-312)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.3233/AIS-200565
Qi JLiu GJensen CKulik L(2020)Effectively learning spatial indicesProceedings of the VLDB Endowment10.14778/3407790.340782913:12(2341-2354)Online publication date: 14-Sep-2020
https://dl.acm.org/doi/10.14778/3407790.3407829
Bok KPark YYoo J(2019)An efficient continuous k-nearest neighbor query processing scheme for multimedia data sharing and transmission in location based servicesMultimedia Tools and Applications10.1007/s11042-018-6433-378:5(5403-5426)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1007/s11042-018-6433-3
Oh SJung HKoo JKim U(2018)Efficient Method for Processing Range Spatial Keyword Queries Over Moving Objects Based on Word2VecHuman Interface and the Management of Information. Information in Applications and Services10.1007/978-3-319-92046-7_51(620-639)Online publication date: 15-Jul-2018
https://dl.acm.org/doi/10.1007/978-3-319-92046-7_51
Fu XMiao XXu JGao Y(2017)Continuous range-based skyline queries in road networksWorld Wide Web10.1007/s11280-017-0444-220:6(1443-1467)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1007/s11280-017-0444-2
Song M(2016)SleepwalkInternational Journal of Distributed Sensor Networks10.1155/2015/2731312015(1-1)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1155/2015/273131
Show More Cited By

View Options

View options

Media

Figures

Other

Tables

View Issue’s Table of Contents