Parallel Processing Strategies for Geospatial Data in a Cloud Computing Infrastructure
Parallel Processing Strategies for Geospatial Data in a Cloud Computing Infrastructure
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
This paper is on the optimization of computing resources to process geospatial image data in a cloud computing infrastructure. Parallelization was tested by combining two different strategies: image tiling and multi-threading. The objective here was to get insight on the optimal use of available processing resources in order to minimize the process...
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Full title
Parallel Processing Strategies for Geospatial Data in a Cloud Computing Infrastructure
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TN_cdi_doaj_primary_oai_doaj_org_article_28e888dc32e34fcdac40a5de088fa5ed
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_28e888dc32e34fcdac40a5de088fa5ed
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14020398
