Evaluating Geospatial Geometry and Proximity Queries Using Distributed Hash Tables | Zendy

Matthew Malensek | Zendy; Sangmi Pallickara | Zendy; Shrideep Pallickara | Zendy

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Evaluating Geospatial Geometry and Proximity Queries Using Distributed Hash Tables

Author(s) -

Matthew Malensek,

Sangmi Pallickara,

Shrideep Pallickara

Publication year - 2014

Publication title -

computing in science and engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.547

H-Index - 67

eISSN - 1558-366X

pISSN - 1521-9615

DOI - 10.1109/mcse.2014.48

Subject(s) - computing and processing , bioengineering , communication, networking and broadcast technologies

This article explores the challenges associated with supporting geospatial retrievals constrained by arbitrary geometric bounds, geographic proximity, and relevance rankings. The authors' proposed solution involves the use of a lightweight, distributed spatial indexing structure, the geoavailability grid. The index can also be used in nondistributed settings, and performs competitively with other spatial indexing technologies.

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