NDLI: Improving the performance of GIS polygon overlay computation with MapReduce for spatial big data processing

Content Provider	Springer Nature Link
Author	Wang, Yong Liu, Zhenling Liao, Hongyan Li, Chengjun
Copyright Year	2015
Abstract	As one of the important operations in Geographic Information System (GIS) spatial analysis, polygon overlay processing is a time-consuming task in many big data cases. In this paper, a specially designed MapReduce algorithm with grid index is proposed to decrease the running time. Our proposed algorithm can reduce the times of calling intersection computation by the aid of grid index. The experiment is carried out on the cloud framework based on Hadoop built by ourselves. Experimental results show that our algorithm with spatial grid index consumes less time than its peer without spatial index. Moreover, the proposed algorithm has an upward speed-up ratio when more nodes of Hadoop framework are used. Nevertheless, with the increase of nodes, the upward trend of speed-up ratio slows down.
Starting Page	507
Ending Page	516
Page Count	10
File Format	PDF
ISSN	13867857
Journal	Cluster Computing
Volume Number	18
Issue Number	2
e-ISSN	15737543
Language	English
Publisher	Springer US
Publisher Date	2015-01-25
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	GIS Polygon overlay processing MapReduce Grid index GPC Processor Architectures Operating Systems Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Software

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Improving the performance of GIS polygon overlay computation with MapReduce for spatial big data processing