About: Distributed processing of elevation data by means of apache hadoop in a small cluster

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Geoinformation technologies require fast processing of high and quickly increasing volumes of all types of spatial data. Parallel computational approach and distributed systems represent technologies which are able to provide required services, with reasonable costs. MapReduce is one example of such approach. It has been successfully implemented in large clusters in several instances. The applications include spatial and imagery data processing. The contribution deals with its implementation and operational performance using only a very small cluster (consisting of a few commodity personal computers) to process large-volume spatial data. Open-source implementation of MapReduce, named, Apache Hadoop, is used. The contribution is focused on a low-price solution and it deals with speed of processing and distribution of processed files. Authors run several experiments to evaluate the benefit of distributed data processing in a small-sized cluster and to find possible limitations. Size of processed files and number of processed values is used as the most important criteria for performance evaluation. Point elevation data were used during the experiments. Geoinformation technologies require fast processing of high and quickly increasing volumes of all types of spatial data. Parallel computational approach and distributed systems represent technologies which are able to provide required services, with reasonable costs. MapReduce is one example of such approach. It has been successfully implemented in large clusters in several instances. The applications include spatial and imagery data processing. The contribution deals with its implementation and operational performance using only a very small cluster (consisting of a few commodity personal computers) to process large-volume spatial data. Open-source implementation of MapReduce, named, Apache Hadoop, is used. The contribution is focused on a low-price solution and it deals with speed of processing and distribution of processed files. Authors run several experiments to evaluate the benefit of distributed data processing in a small-sized cluster and to find possible limitations. Size of processed files and number of processed values is used as the most important criteria for performance evaluation. Point elevation data were used during the experiments. (en)
Title	Distributed processing of elevation data by means of apache hadoop in a small cluster Distributed processing of elevation data by means of apache hadoop in a small cluster (en)
skos:prefLabel	Distributed processing of elevation data by means of apache hadoop in a small cluster Distributed processing of elevation data by means of apache hadoop in a small cluster (en)
skos:notation	RIV/00216275:25410/13:39896621!RIV14-MV0-25410___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(ED4.1.00/04.0134), P(EE2.3.30.0021), P(VF20112015018)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Komárková, Jitka Špidlen, Jakub Horák, Oldřich Bhattacharya, Devanjan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Pardubice / Fakulta ekonomicko-správní
http://linked.open...dnocenehoVysledku	69972
http://linked.open...ai/riv/idVysledku	RIV/00216275:25410/13:39896621
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	small cluster; elevation data; distributed processing; Apache Hadoop (en)
http://linked.open.../riv/klicoveSlovo	Apache Hadoop small cluster distributed processing elevation data
http://linked.open...ontrolniKodProRIV	[59A28B45092A]
http://linked.open...v/mistoKonaniAkce	Reykjavík
http://linked.open...i/riv/mistoVydani	Setubal
http://linked.open...i/riv/nazevZdroje	ICSOFT 2013 - Proceedings of the 8th International Joint Conference on Software Technologies
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	University IT for education and research Security of population - crisis management Strenthening of Research and Development Teams at the University of Pardubice
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Komárková, Jitka Horák, Oldřich Bhattacharya, Devanjan Špidlen, Jakub
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-07-29 (xsd:date)
number of pages	5 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Institute for Systems and Technologies of Information, Control and Communication (INSTICC)
https://schema.org/isbn	978-989-8565-68-6
http://localhost/t...ganizacniJednotka	25410

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