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%0 Conference Proceedings
%4 sid.inpe.br/mtc-m16d/2019/11.27.19.09
%2 sid.inpe.br/mtc-m16d/2019/11.27.19.09.02
%@issn 2179-4847
%A Tonon, Guilherme Silva,
%A Oliveira, Thiago Borges de,
%@affiliation Universidade Federal de Goiás (UFG)
%@affiliation Universidade Federal de Goiás (UFG)
%@electronicmailaddress gs.tonon90@hotmail.com
%@electronicmailaddress thborges@ufg.br
%T Gain-Loss: método de distribuição de dados para processamento distribuído de multijunções espaciais
%B Simpósio Brasileiro de Geoinformática (GEOINFO)
%D 2019
%E Lisboa Filho, Jugurta,
%E Monteiro, Antonio Miguel Vieira,
%S Anais do 20º Simpósio Brasileiro de Geoinformática
%8 11 -13 nov. 2019
%J São José dos Campos
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%C São José dos Campos
%K geoinformatica.
%X Data distribution is a challenge in the distributed execution of multiway spatial join queries. An efficient execution requires both a balanced data distribution as well as a distribution with spatial data colocalization. In this paper, we compare two methods of spatial data distribution and propose a new one called Gain-Loss, based in the R0-tree algorithms. Our evaluation shows that Gain-Loss has a reduced area overlay between servers in all tested scenarios and also a competitive object balancing. This result indicates a more efficient execution of queries, with a reduction in the use of computational resources, mainly network usage and processing time.
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%@language pt
%3 274-279.pdf


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