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<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a>
This paper describes a new scalable, reliable and consistent structure for implementing a distributed database system. This structure is based on the hyperbolic geometry and we call it a Virtual and Consistent Hyperbolic tree (VCH-tree). This structure is intended for supporting queries over possibly large spatial datasets distributed over interconnected servers. The VCH-tree is comparable to the well-known R-tree structure, but it uses the hyperbolic geometry properties of the Poincaré disk<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-26850-7_28">doi:10.1007/978-3-319-26850-7_28</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4mwy4jhlsjadheagwikf2t4ihm">fatcat:4mwy4jhlsjadheagwikf2t4ihm</a> </span>
more »... el. It uses a distributed balanced Q-degree spatial tree that scales with data objects' insertions into potentially any number of storage servers through virtual hyperbolic coordinates. A user application manipulates the structure from a client node. The client can connect to the system through one of the database servers that is already in the VCH-tree. Messages are then routed towards the proper server by a greedy algorithm which is using the virtual hyperbolic coordinates attributed to each server. We have performed simulations to assess the efficiency and reliability of the VCH-tree. Results show that our VCHtree is consistent and has expected performances given the scalability and flexibility it provides to distributed database applications.
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