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Adaptive Update Workload Reduction for Moving Objects in Road Networks

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Web-Age Information Management (WAIM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7418))

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Abstract

Location-Based Service (LBS) in road networks has many dazzling applications. Under the context of road networks, while many approaches have been proposed to speed up the location-based queries, to the best of our knowledge, none of them pays attention to the updating protocol, which is a vital aspect directly impacting the system performance. In this paper, we focus on designing adaptive updating protocol to reduce the updating workload between moving objects and the database server. We build an effective motion model, called Road-Network Safe Range (RNSR) for each object. The RNSR enables large space tolerance for the moving objects. Extensive experiments using real-world dataset justify that our proposals apparently cut down the system updating workload while still guarantee a certain query accuracy.

The National Natural Science Foundation of China (61003058); the Fundamental Research Funds for the Central Universities(N100704001,N110404006).

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References

  1. Zhang, Z., Yang, Y., Tung, A.K.H., Papadias, D.: Continuous k-means monitoring over moving objects. IEEE Trans. Knowl. Data Eng. 20(9), 1205–1216 (2008)

    Article  Google Scholar 

  2. Hu, H., Xu, J., Lee, D.L.: A generic framework for monitoring continuous spatial queries over moving objects. In: SIGMOD Conference, pp. 479–490 (2005)

    Google Scholar 

  3. Chen, S., Ooi, B.C., Zhang, Z.: An adaptive updating protocol for reducing moving object databases workload. PVLDB 3(1), 735–746 (2010)

    Google Scholar 

  4. Zhang, Z., Cheng, R., Papadias, D., Tung, A.K.H.: Minimizing the communication cost for continuous skyline maintenance. In: SIGMOD Conference, pp. 495–508 (2009)

    Google Scholar 

  5. Amir, A., Efrat, A., Myllymaki, J., Palaniappan, L., Wampler, K.: Buddy tracking - efficient proximity detection among mobile friends. Pervasive and Mobile Computing 3(5), 489–511 (2007)

    Article  Google Scholar 

  6. Küpper, A., Treu, G.: Efficient proximity and separation detection among mobile targets for supporting location-based community services. Mobile Computing and Communications Review 10(3), 1–12 (2006)

    Article  Google Scholar 

  7. Xu, Z., Jacobsen, H.-A.: Adaptive location constraint processing. In: SIGMOD Conference, pp. 581–592 (2007)

    Google Scholar 

  8. Yiu, M.L., Leong Hou, U., Saltenis, S., Tzoumas, K.: Efficient proximity detection among mobile users via self-tuning policies. PVLDB 3(1), 985–996 (2010)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Li, M., Gu, Y., Xu, J., Yu, G. (2012). Adaptive Update Workload Reduction for Moving Objects in Road Networks. In: Gao, H., Lim, L., Wang, W., Li, C., Chen, L. (eds) Web-Age Information Management. WAIM 2012. Lecture Notes in Computer Science, vol 7418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32281-5_21

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  • DOI: https://doi.org/10.1007/978-3-642-32281-5_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32280-8

  • Online ISBN: 978-3-642-32281-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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