@InProceedings{CastroCarnCife:2018:UsViDi,
author = "Castro, Jo{\~a}o Pedro de Carvalho and Carniel, Anderson Chaves
and Ciferri, Cristina Dutra de Aguiar",
affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Universidade de
S{\~a}o Paulo (USP)} and {Universidade de S{\~a}o Paulo (USP)}",
title = "A user-centric view of distributed spatial data management
systems",
year = "2018",
editor = "Vinhas, L{\'u}bia (INPE) and Campelo, Claudio (UFCG)",
pages = "80--91",
organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 19. (GEOINFO)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "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.",
conference-location = "Campina Grande",
conference-year = "05-07 dez. 2018",
issn = "2179-4847",
language = "pt",
ibi = "8JMKD3MGPDW34P/3SEUQFS",
url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3SEUQFS",
targetfile = "p8.pdf",
urlaccessdate = "27 abr. 2024"
}