%0 Conference Proceedings
%4 sid.inpe.br/mtc-m16c/2018/12.27.18.22
%2 sid.inpe.br/mtc-m16c/2018/12.27.18.22.40
%@issn 2179-4847
%T A user-centric view of distributed spatial data management systems
%D 2018
%A Castro, João Pedro de Carvalho,
%A Carniel, Anderson Chaves,
%A Ciferri, Cristina Dutra de Aguiar,
%@affiliation Universidade de São Paulo (USP)
%@affiliation Universidade de São Paulo (USP)
%@affiliation Universidade de São Paulo (USP)
%@electronicmailaddress jp.carvalhocastro@usp.br
%@electronicmailaddress accarniel@gmail.com
%@electronicmailaddress cdac@icmc.usp.br
%E Vinhas, Lúbia (INPE),
%E Campelo, Claudio (UFCG),
%B Simpósio Brasileiro de Geoinformática, 19 (GEOINFO)
%C Campina Grande
%8 05-07 dez. 2018
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 80-91
%X Distributed spatial data management systems (DSDMSs) represent a new technology capable of managing huge volumes of spatial data using parallel and distributed frameworks. An increasing number of DSDMSs have been proposed in the literature, requiring a comparison among them. However, comparisons available in the literature only provide a system-centric view of DSDMSs, which is essentially based on performance evaluations. Thus, there is a lack of comparisons based on the user-centric view, which is aimed to help users to understand how the characteristics of DSDMSs are useful to meet the specific requirements of their spatial applications. In this paper, we fill this gap in the literature. We provide a user-centric comparison of Hadoop-GIS, SpatialHadoop, SpatialSpark, GeoSpark, SIMBA, LocationSpark, SparkGIS, and Elcano, using as a basis an extensive set of criteria related to the char- acteristics of spatial data handling and to the aspects inherent to distributed systems. Based on this comparison, we introduce a set of guidelines to help users to choose an appropriate DSDMS. We also describe a case study to illus- trate the use of these guidelines.
%@language pt
%3 p8.pdf