This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Recommended Reading
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2018 Springer Science+Business Media, LLC, part of Springer Nature
About this entry
Cite this entry
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
Download citation
DOI: https://doi.org/10.1007/978-1-4614-8265-9_136
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-8266-6
Online ISBN: 978-1-4614-8265-9
eBook Packages: Computer ScienceReference Module Computer Science and Engineering