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DISTRIBUTED ALGORITHMS FOR SPATIAL RETRIEVAL QUERIES IN GEOSPATIAL ANALYSIS
2016
Services Transactions on Cloud Computing
The proliferation of data acquisition devices like 3D laser scanners had led to the burst of large-scale spatial terrain data which imposes many challenges to spatial data analysis and computation. With the advent of several emerging cloud technologies, a natural and cost-effective approach to managing such large-scale data is to store and process such datasets in a publicly hosted cloud service using modern distributed computing paradigms such as MapReduce. For several key spatial data
doi:10.29268/stcc.2016.4.3.1
fatcat:ehka6kr5ofgdbkpzalpn6en3bu