DocumentCode :
3686043
Title :
Distributed Spatial Join Processing for Multiple Spatial Datasets - Multi-way Spatial Join
Author :
Anderson Rogério ;Sávio Salvarino Teles de ;Thiago Borges de Oliveira;Everton Lima Aleixo;Marcelo de Castro Cardoso;Vagner José do Sacramento
Author_Institution :
Inst. de Informtica, Univ. Fed. de Gois, Goinia, Brazil
fYear :
2015
fDate :
5/1/2015 12:00:00 AM
Firstpage :
171
Lastpage :
181
Abstract :
This paper proposes the Distributed Synchronous Traversal algorithm (DST) for distributed processing of spatial join with multiple datasets (Multi-way Spatial Join). It was evaluated over clusters up to eight servers, and just like the Synchronous Traversal algorithm, performs spatial join by synchronously traversing the input R-Trees. The experiments results on real datasets have shown that the algorithm provides a satisfactory degree of horizontal scalability.
Keywords :
"Spatial databases","Clustering algorithms","Scalability","Computer networks","Distributed processing","Servers","Distributed algorithms"
Publisher :
ieee
Conference_Titel :
Computer Networks and Distributed Systems (SBRC), 2015 XXXIII Brazilian Symposium on
Type :
conf
DOI :
10.1109/SBRC.2015.29
Filename :
7320524
Link To Document :
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