Analyzing spatial analytics systems based on Hadoop and Spark: A user perspective

Autor(es)

de Carvalho Castro, Joao Pedro ^{[1, 2]} ; Chaves Carniel, Anderson ^[3] ; Dutra de Aguiar Ciferri, Cristina ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Dept Comp Sci, Sao Paulo - Brazil

^[2] Fed Univ Minas Gerais UFMG, Comp Ctr CECOM, Belo Horizonte, MG - Brazil

^[3] Fed Univ Technol Parana UTFPR, Dois Vizinhos - Brazil

• Tipo de documento: Artigo Científico
• Fonte: SOFTWARE-PRACTICE & EXPERIENCE; v. 50, n. 12, p. 2121-2144, DEC 2020.
• Citações Web of Science: 1

Resumo

Spatial analytics systems (SASs) represent a technology capable of managing huge volumes of spatial data using frameworks such as Apache Hadoop and Apache Spark. An increasing number of SASs have been proposed, requiring a comparison among them. However, existing comparisons in the literature provide asystem-centricview based on performance evaluations. Thus, there is a lack of comparisons based on theuser-centricview, that is, comparisons that help users to understand how the characteristics of SASs are useful to meet the specific requirements of their spatial applications. In this article, we provide a user-centric comparison of the following SASs based on Hadoop and Spark: Hadoop-GIS, SpatialHadoop, SpatialSpark, GeoSpark, GeoMesa Spark, SIMBA, LocationSpark, STARK, Magellan, SparkGIS, and Elcano. This comparison employs an extensive set of criteria related to the general characteristics of these systems, to the aspects of spatial data handling, and to the aspects inherent to distributed systems. Based on this comparison, we introduce guidelines to help users to choose an appropriate SAS. We also describe two case studies based on real-world applications to illustrate the use of these guidelines. Finally, we discuss chronological tendencies related to SASs and identify limitations that SASs should address to improve user experience. (AU)

• Processo FAPESP: 18/22277-8 - Processamento de Consultas OLAP e SOLAP em Ambientes Computacionais Paralelos e Distribuídos
• Beneficiário: Cristina Dutra de Aguiar
• Modalidade de apoio: Auxílio à Pesquisa - Regular