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Load-Balancing Remote Spatial Join Queries in a Spatial GRID

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Conceptual Modeling – ER 2004 (ER 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3288))

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Abstract

The explosive growth of spatial data worldwide coupled with the emergence of GRID computing provides a strong motivation for designing a spatial GRID which allows transparent access to geographically distributed data. While different types of queries may be issued from any node in such a spatial GRID for retrieving the data stored at other (remote) nodes in the GRID, this paper specifically addresses spatial join queries. Incidentally, skewed user access patterns may cause a disproportionately large number of spatial join queries to be directed to a few ‘hot’ nodes, thereby resulting in severe load imbalance and consequently increased user response times. This paper focusses on load-balanced spatial join processing in a spatial GRID.

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References

  1. Brinkhoff, T., Kriegel, H.P., Seeger, B.: Efficient processing of spatial joins using R-trees. In: Proc. ACM SIGMOD, pp. 237–246 (1993)

    Google Scholar 

  2. European DataGRID, http://eu-datagrid.web.cern.ch/eu-datagrid/

  3. Datasets, http://dias.cti.gr/~ytheod/research/datasets/spatial.html

  4. Foster, I., Kesselman, C.: The GRID: Blueprint for a new computing infrastructure. Morgan Kaufmann, San Francisco (1999)

    Google Scholar 

  5. Gaede, V., Gunther, O.: Multidimensional access methods. ACM Computing Surveys 30(2), 170–231 (1998)

    Article  Google Scholar 

  6. Earth Systems GRID, http://www.earthsystemgrid.org/

  7. Gunther, O.: Efficient computation of spatial joins. In: Proc. ICDE, pp. 50–59 (1993)

    Google Scholar 

  8. Guttman, A.: R-trees: A dynamic index structure for spatial searching. In: Proc. ACM SIGMOD, pp. 47–57 (1984)

    Google Scholar 

  9. Hu, Y.C., Johnson, D.B.: Caching strategies in on-demand routing protocols for wireless Ad Hoc networks. In: Proc. MOBICOM, pp. 231–242 (2000)

    Google Scholar 

  10. Luo, G., Naughton, J.F., Ellmann, C.: A non-blocking parallel spatial join algorithm. In: Proc. ICDE (2002)

    Google Scholar 

  11. Mondal, A., Goda, K., Kitsuregawa, M.: Effective load-balancing via migration and replication in spatial GRIDs. In: Mařík, V., Štěpánková, O., Retschitzegger, W. (eds.) DEXA 2003. LNCS, vol. 2736, pp. 202–211. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  12. Patel, J., DeWitt, D.: Partition based spatial-merge join. In: Proc. ACM SIGMOD, pp. 259–270 (1996)

    Google Scholar 

  13. GriPhyN Project, http://www.griphyn.org/index.php

  14. Ren, Q., Dunham, M.H.: Using semantic caching to manage location dependent data in mobile computing. In: Proc. MOBICOM, pp. 210–221 (2000)

    Google Scholar 

  15. Rigaux, P., Scholl, M., Voisard, A.: Spatial databases with application to GIS. Morgan Kaufmann, San Francisco (2001) ISBN 1-55860-588-6

    Google Scholar 

  16. Scheuermann, P., Weikum, G., Zabback, P.: Disk cooling in parallel disk systems. IEEE Bulletin of the Technical Committee on Data Engineering 17(3), 29–40 (1994)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Industrial Science, University of Tokyo, Japan

    Anirban Mondal & Masaru Kitsuregawa

Authors
  1. Anirban Mondal
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  2. Masaru Kitsuregawa
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Editor information

Editors and Affiliations

  1. Informatica e Automazione, Università Roma Tre, Via Vasca Navale 79, 00146, Roma, Italy

    Paolo Atzeni

  2. Computer Science Department, University of California, 3731 Boelter Hall, 90095, Los Angeles, CA, USA

    Wesley Chu

  3. Department of Computer Science, Tsinghua University, 100084, Beijing, P.R. China

    Hongjun Lu

  4. Department of Computer Science and Engineering, Fudan University, 200433, China

    Shuigeng Zhou

  5. School of Computing, National University of Singapore,  

    Tok-Wang Ling

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© 2004 Springer-Verlag Berlin Heidelberg

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Mondal, A., Kitsuregawa, M. (2004). Load-Balancing Remote Spatial Join Queries in a Spatial GRID. In: Atzeni, P., Chu, W., Lu, H., Zhou, S., Ling, TW. (eds) Conceptual Modeling – ER 2004. ER 2004. Lecture Notes in Computer Science, vol 3288. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30464-7_35

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  • DOI: https://doi.org/10.1007/978-3-540-30464-7_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23723-5

  • Online ISBN: 978-3-540-30464-7

  • eBook Packages: Springer Book Archive

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