DocumentCode :
70600
Title :
Evaluating Geospatial Geometry and Proximity Queries Using Distributed Hash Tables
Author :
Malensek, Matthew ; Pallickara, Shrideep ; Pallickara, Shrideep
Author_Institution :
Dept. of Comput. Sci., Colorado State Univ., Fort Collins, CO, USA
Volume :
16
Issue :
4
fYear :
2014
fDate :
July-Aug. 2014
Firstpage :
53
Lastpage :
61
Abstract :
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.
Keywords :
database indexing; file organisation; geometry; query processing; arbitrary geometric bounds; geoavailability grid; geographic proximity query; geospatial geometry; geospatial retrieval; lightweight distributed spatial indexing structure; nondistributed settings; relevance rankings; Big data; Data structures; Distributed databases; Geospatial analysis; Indexing; Query processing; cloud infrastructure; distributed hash tables; geospatial query evaluation; scientific computing;
fLanguage :
English
Journal_Title :
Computing in Science & Engineering
Publisher :
ieee
ISSN :
1521-9615
Type :
jour
DOI :
10.1109/MCSE.2014.48
Filename :
6785924
Link To Document :
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