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Optimizing Moving Queries over Moving Object Data Streams

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Advances in Databases: Concepts, Systems and Applications (DASFAA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4443))

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Abstract

With the increasing in demand on location-based aware services and RFIDs, efficient processing of continuous queries over moving object streams becomes important. In this paper, we propose an efficient in-memory processing of continuous queries on the moving object streams. We model moving objects using function of time and use it in the prediction of usefulness of objects with respect to the continuous queries. To effectively utilize the limited memory, we derive several replacement policies to discard objects that are of no potential interest to the queries and design efficient algorithms with light data structures. Experimental studies are conducted and the results show that our proposed method is both memory and query efficient.

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References

  1. Chen, Y., Rao, F., Yu, X., Liu, D., Zhang, L.: Managing Location Stream Using Moving Object Database. In: Proc. DEXA, pp. 916–920 (2003)

    Google Scholar 

  2. Čivilis, A., Jensen, C.S., Nenortaitė, J., Pakalnis, S.: Efficient Tracking of Moving Objects with Precision Guarantees. In: Proc. Mobiquitous, pp. 164–173 (2004)

    Google Scholar 

  3. Elmongui, H.G., Ouzzani, M., Aref, W.G.: Challenges in Spatio-temporal Stream Query Optimization. In: Proc. MobiDE, pp. 27–34 (2006)

    Google Scholar 

  4. Jensen, C.S., Lin, D., Ooi, B.C.: Query and Update Efficient B+-Tree Based Indexing of Moving Objects. In: Proc. VLDB, pp. 768–779 (2004)

    Google Scholar 

  5. Kalashnikov, D.V., Prabhakar, S., Hambrusch, S., Aref, W.G.: Efficient Evaluation of Continuous Range Queries on Moving Objects. In: Hameurlain, A., Cicchetti, R., Traunmüller, R. (eds.) DEXA 2002. LNCS, vol. 2453, pp. 731–740. Springer, Heidelberg (2002)

    Google Scholar 

  6. Li, Y., Yang, J., Han, J.: Continuous K-Nearest Neighbor Search for Moving Objects. In: Proc. SSDBM, pp. 123–126 (2004)

    Google Scholar 

  7. Mokbel, M.F., Xiong, X., Aref, W.G.: SINA: Scalable Incremental Processing of Continuous Queries in Spatio-temporal Databases. In: Proc. SIGMOD, pp. 623–634 (2004)

    Google Scholar 

  8. Mokbel, M.F., Xiong, X., Hammad, M.A., Aref, W.G.: Continuous Query Processing of Spatio-temporall Data Streams in PLACE. In: Proc. STDBM, pp. 57–64 (2004)

    Google Scholar 

  9. Nehme, R.V., Rundensteiner, E.A.: SCUBA: Scalable Cluster-Based Algorithm for Evaluating Continuous Spatio-temporal Queries on Moving Objects. In: Ioannidis, Y., Scholl, M.H., Schmidt, J.W., Matthes, F., Hatzopoulos, M., Böhm, K., Kemper, A., Grust, T., Böhm, C. (eds.) EDBT 2006. LNCS, vol. 3896, pp. 1001–1019. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  10. Patel, J.M., Chen, Y., Chakka, V.P.: STRIPES: An Efficient Index for Predicted Trajectories. In: Proc. SIGMOD, pp. 637–646 (2004)

    Google Scholar 

  11. Saltenis, S., Jensen, C.S., Leutenegger, S.T., Lopez, M.A.: Indexing the Positions of Continuously Moving Objects. In: Proc. SIGMOD, pp. 331–342 (2000)

    Google Scholar 

  12. Kalashnikov, D.V., Prabhakar, S., Hambrusch, S.E.: Main Memory Evaluation of Monitoring Queries Over Moving Objects. In: Distributed and Parallel Databases, pp. 117–135 (2004)

    Google Scholar 

  13. Tao, Y., Papadias, D., Shen, Q.: Continuous Nearest Neighbor Search. In: Proc. VLDB, pp. 287–298 (2002)

    Google Scholar 

  14. Tao, Y., Papadias, D., Sun, J.: The TPR*-Tree: An Optimized Spatio-Temporal Access Method for Predictive Queries. In: Proc. VLDB, pp. 790–801 (2003)

    Google Scholar 

  15. Wu, K.L., Chen, S.K., Yu, P.S.: Indexing continual Range Queries with Covering Tiles for Fast Locating of Moving Objects. In: Proc. ICDCSW, pp. 470–475 (2004)

    Google Scholar 

  16. Yiu, M., Tao, Y., Mamoulis, N.: The Bdual-Tree: Indexing Moving Objects by Space-Filling Curves in the Dual Space. To appear in VLDB Journal (2006)

    Google Scholar 

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Ramamohanarao Kotagiri P. Radha Krishna Mukesh Mohania Ekawit Nantajeewarawat

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© 2007 Springer-Verlag Berlin Heidelberg

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Lin, D., Cui, B., Yang, D. (2007). Optimizing Moving Queries over Moving Object Data Streams. In: Kotagiri, R., Krishna, P.R., Mohania, M., Nantajeewarawat, E. (eds) Advances in Databases: Concepts, Systems and Applications. DASFAA 2007. Lecture Notes in Computer Science, vol 4443. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71703-4_48

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  • DOI: https://doi.org/10.1007/978-3-540-71703-4_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71702-7

  • Online ISBN: 978-3-540-71703-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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