Distributed processing of elevation data by means of apache hadoop in a small cluster
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F13%3A39896621" target="_blank" >RIV/00216275:25410/13:39896621 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Distributed processing of elevation data by means of apache hadoop in a small cluster
Original language 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 p
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICSOFT 2013 - Proceedings of the 8th International Joint Conference on Software Technologies
ISBN
978-989-8565-68-6
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
340-344
Publisher name
Institute for Systems and Technologies of Information, Control and Communication (INSTICC)
Place of publication
Setubal
Event location
Reykjavík
Event date
Jul 29, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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