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		<identifier>8JMKD3MGPDW34P/3SEUQ98</identifier>
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		<issn>2179-4847</issn>
		<citationkey>CarnielRoCiVaCoCi:2018:EfFlSp</citationkey>
		<title>An efficient flash-aware spatial index for points</title>
		<format>On-line</format>
		<year>2018</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>889 KiB</size>
		<author>Carniel, Anderson Chaves,</author>
		<author>Roumelis, George,</author>
		<author>Ciferri, Ricardo Rodrigues,</author>
		<author>Vassilakopoulos, Michael,</author>
		<author>Corral, Antonio,</author>
		<author>Ciferri, Cristina Dutra de Aguiar,</author>
		<affiliation>Universidade de São Paulo (USP)</affiliation>
		<affiliation>University of Thessaly</affiliation>
		<affiliation>Universidade Federal de São Carlos (UFSCar)</affiliation>
		<affiliation>University of Thessaly</affiliation>
		<affiliation>University of Almeria</affiliation>
		<affiliation>Universidade de São Paulo (USP)</affiliation>
		<electronicmailaddress>accarniel@gmail.com</electronicmailaddress>
		<electronicmailaddress>groumelis@uth.gr</electronicmailaddress>
		<electronicmailaddress>ricardo@dc.ufscar.br</electronicmailaddress>
		<electronicmailaddress>mvasilako@uth.gr</electronicmailaddress>
		<electronicmailaddress>acorral@ual.es</electronicmailaddress>
		<electronicmailaddress>cdac@icmc.usp.br</electronicmailaddress>
		<editor>Vinhas, Lúbia (INPE),</editor>
		<editor>Campelo, Claudio (UFCG),</editor>
		<e-mailaddress>lubia@dpi.inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Geoinformática, 19 (GEOINFO)</conferencename>
		<conferencelocation>Campina Grande</conferencelocation>
		<date>05-07 dez. 2018</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>68-79</pages>
		<transferableflag>1</transferableflag>
		<abstract>Spatial database systems often employ spatial indices to speed up the processing of spatial queries. In addition, modern spatial database applica- tions are interested in exploiting the positive characteristics of flash-based Solid State Drives (SSDs) like fast reads and writes. However, designing spatial in- dices for SSDs (i.e., flash-aware spatial indices) has been a challenging task because of the intrinsic characteristics of these devices. In this paper, we pro- pose the eFIND xBR+-tree, a novel flash-aware spatial index for points. The eFIND xBR+-tree combines the efficient indexing method of the xBR+-tree with the sophisticated data structures and algorithms of eFIND to handle points in SSDs efficiently. Experiments carried out considering real and synthetic spa- tial data showed that the eFIND xBR+-tree overcame its closest competitor by reducing the elapsed time to construct the index from 28.4% to 83.5% and to execute spatial queries up to 34.6%.</abstract>
		<area>SRE</area>
		<language>pt</language>
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