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		<issn>2179-4820</issn>
		<citationkey>BachiegaJrReisHolaArau:2017:CoDeIn</citationkey>
		<title>Comparação de desempenho na indexação de big geospatial data em ambiente de nuvem computacional</title>
		<format>Pendrive, On-line.</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>1448 KiB</size>
		<author>Bachiega Junior, João,</author>
		<author>Reis, Marco Sousa,</author>
		<author>Holanda, Maristela,</author>
		<author>Araujo, Aleteia P. F.,</author>
		<affiliation>Universidade de Brasília (UnB)</affiliation>
		<affiliation>Universidade de Brasília (UnB)</affiliation>
		<affiliation>Universidade de Brasília (UnB)</affiliation>
		<affiliation>Universidade de Brasília (UnB)</affiliation>
		<editor>Davis Jr., Clodoveu A. (UFMG),</editor>
		<editor>Queiroz, Gilberto R. de (INPE),</editor>
		<e-mailaddress>lubia@dpi.inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Geoinformática, 18 (GEOINFO)</conferencename>
		<conferencelocation>Salvador</conferencelocation>
		<date>04-06 dez. 2017</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>134-139</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Short papers</tertiarytype>
		<transferableflag>1</transferableflag>
		<abstract>With the growth of spatial data volume, known as Big Geospatial Data, some tools have been developed to allow the processing of this data in an efficient way, but for this it is fundamental to index the databases. The cloud computing has computational power and several other characteristics that are adherent to the execution of this type of application. This paper presents an analysis of indexing, operations and queries performed through SpatialHadoop in a test scenario provisioned in the cloud environment.</abstract>
		<area>SRE</area>
		<language>pt</language>
		<targetfile>17bachiega_araujo.pdf</targetfile>
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		<url>http://mtc-m16c.sid.inpe.br/rep-/sid.inpe.br/mtc-m16c/2017/12.01.20.50</url>
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