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SDR-tree: a Scalable Distributed Rtree

Abstract : We propose a scalable distributed data structure (SDDS) called SD-Rtree. We intend our structure for point and window queries over possibly large spatial datasets distributed on clusters of interconnected servers. SD-Rtree generalizes the well-known Rtree structure. It uses a distributed balanced binary spatial tree that scales with insertions to potentially any number of storage servers through splits of the overloaded ones. A user/application manipulates the structure from a client node. The client addresses the tree through its image that the splits can make outdated. This may generate addressing errors, solved by the forwarding among the servers. Specific messages towards the clients incrementally correct the outdated images.
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Contributor : Laboratoire Cedric <>
Submitted on : Friday, March 6, 2015 - 11:03:34 AM
Last modification on : Wednesday, September 23, 2020 - 4:28:03 AM


  • HAL Id : hal-01125245, version 1


Cedric Du Mouza, Witold Litwin, Philippe Rigaux. SDR-tree: a Scalable Distributed Rtree. ICDE'07 IEEE Intl. Conf. on Data Engineering, Jan 2007, X, France. pp.296-305. ⟨hal-01125245⟩



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