Geometry and Proximity Constrained Query Evaluations over Large Geospatial Datasets Using Distributed Hash Tables

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Provided by: Institute of Electrical & Electronic Engineers
Topic: Cloud
Format: PDF
Data volumes in the geosciences and related domains have grown significantly as sensing equipment designed to continuously gather readings and produce data streams for geographic regions have proliferated. The storage requirements imposed by these datasets vastly outstrip the capabilities of a single computing resource, leading to the use and development of distributed storage frameworks composed of commodity hardware. In this paper, the authors explore the challenges associated with supporting geospatial retrievals constrained by arbitrary geometric bounds, geographic proximity, and relevance rankings.
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