MapReduce Based Scalable Range Query Architecture for Big Spatial Data

Abstract-Finding all objects that overlap a given range
query is very important in terms of extraction useful information
from big spatial data. In this study, in order to be able to realize
range query on large amounts of spatial data, three datasets are
created with different size and a MapReduce computation model
is set up to test scalability of range queries. Experimental results
show that process times for range query reduce with increase of
conventional machines.


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