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Encyclopedia of Database Systems pp 1215–1222Cite as

Distributed Spatial Databases

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Definition

Distributed spatial databases belong to the broad category of distributed database systems. Data reside in more than one sites interconnected by a network, and query processing may involve several sites. A site can be anything from a server to a small mobile device. The broad definition covers many research areas. This entry gives an overview of the following sub-categories: (i) Distributed spatial query processing, which focuses mainly on spatial joins. (ii) Distributed spatial indexes (e.g., a distributed version of the R-tree). (iii) Spatial queries in large distributed systems formed by devices such as PDAs, mobile phones, or even sensor networks.

Historical Background

Similar to relational databases, in spatial databases the most important operator is the spatial join. In relational databases, distributed joins are often implemented by using the semijoin operator. Let R and S be relations residing in two different sites Rsite and Ssite. First Rsite calculates R′ which...

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Recommended Reading

  1. Abel DJ, Ooi BC, Tan K-L, Power R, Yu JX. Spatial join strategies in distributed spatial DBMS. In: Proceedings of the 4th International Symposium on Advances in Spatial Databases; 1995. p. 348–67.

    Chapter  Google Scholar 

  2. Coman A, Nascimento MA, Sander J. Exploiting redundancy in sensor networks for energy efficient processing of spatiotemporal region queries. In: Proceedings of the International Conference on Information and Knowledge Management; 2005. p. 187–94.

    Google Scholar 

  3. Gedik B, Liu L. MobiEyes: distributed processing of continuously moving queries on moving objects in a mobile system. In: Advances in Database Technology, Proceedings of the 9th International Conference on Extending Database Technology; 2004. p. 67–87.

    Chapter  Google Scholar 

  4. Jagadish HV, Ooi BC, Vu QH, Zhang R, Zhou A. VBI-tree: a peer-to-peer framework for supporting multi-dimensional indexing schemes. In: Proceedings of the 22nd International Conference on Data Engineering; 2006.

    Google Scholar 

  5. Kalnis P, Mamoulis N, Bakiras S, Li X. Ad-hoc distributed spatial joins on mobile devices. In: Proceedings of the 20th International Parallel & Distributed Processing Symposium; 2006.

    Google Scholar 

  6. Kantere V, Sellis TK. A study for the parameters of a distributed framework that handles spatial areas. In: Proceedings of the 10th International Symposium on Advances in Spatial and Temporal Databases; 2007. p. 385–402.

    Google Scholar 

  7. Karlsson JS. hQT*: a scalable distributed data structure for high-performance spatial accesses. In: Proceedings of the International Conference of Foundations of Data Organization; 1998. p. 37–46.

    Google Scholar 

  8. Litwin W, Neimat M-A. k-RP*S: a scalable distributed data structure for high-performance multi-attribute access. In: Proceedings of the International Conference on Parallel and Distributed Information Systems; 1996. p. 120–31.

    Google Scholar 

  9. Liu D-Z, Lim E-P, Ng W-K. Efficient k nearest neighbor queries on remote spatial databases using range estimation. In: Proceedings of the 14th International Conference on Scientific and Statistical Database Management; 2002. p. 121–30.

    Google Scholar 

  10. Mamoulis N, Kalnis P, Bakiras S, Li X. Optimization of spatial joins on mobile devices. In: Proceedings of the 8th International Symposium on Advances in Spatial and Temporal Databases; 2003. p. 233–51.

    Chapter  Google Scholar 

  11. Mondal A, Lifu Y, Kitsuregawa M. P2PR-tree: an R-tree-based spatial index for peer-to-peer environments. In: Proceedings of the 2004 international conference on Current Trends in Database Technology; 2004. p. 516–25.

    Chapter  Google Scholar 

  12. du Mouza C, Litwin W, Rigaux P. SD-Rtree: a scalable distributed Rtree. In: Proceedings of the 23rd International Conference on Data Engineering; 2007. p. 296–305.

    Google Scholar 

  13. Orenstein JA. A comparison of spatial query processing techniques for native and parameter spaces. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1990. p. 343–52.

    Article  Google Scholar 

  14. Tan K-L, Ooi BC, Abel DJ. Exploiting spatial indexes for semijoin-based join processing in distributed spatial databases. IEEE Trans Knowl Data Eng. 2000;12(6):920–37.

    Article  Google Scholar 

  15. Zheng B, Lee W-C, Lee DL. Search continuous nearest neighbor on air. In: Proceedings of the International Conference on Mobile and Ubiquitous Systems: Networking and Services; 2004. p. 236–45.

    Google Scholar 

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Author information

Authors and Affiliations

  1. National University of Singapore, Singapore, Singapore

    Panos Kalnis

Authors
  1. Panos Kalnis
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Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Dept. of Computer Science and Eng., Hong Kong Univ. of Science and Technology, Kowloon, Hong Kong, Hong Kong SAR

    Dimitris Papadias

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Kalnis, P. (2018). Distributed Spatial Databases. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_136

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