Optimization of Spatial Join Operation using Mapreduce and Indexing on Hadoop |
Author(s): |
Munira Topia , Silver Oak College of Engineering |
Keywords: |
Spatial Join Operation, Map-Reduce, Hadoop |
Abstract |
Performing Spatial Join operation on voluminous data is time consuming operation which degrades performance of entire systems. We propose an optimized approach to perform spatial join using map-reduce on HDFS (Hadoop Distributed File System) system. Currently various algorithms for computing spatial join with indexing and spatial data type support do exists, some of them work very efficient on spatial-hadoop systems. In this paper an indexing using quad-tree for spatial data has been proposed for non-spatial, simple hadoop system, to improve the performance. |
Other Details |
Paper ID: IJSRDV6I21535 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 2539-2541 |
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