Distributed and Parallel Architectures for Spatial Data
This book aims at promoting new and innovative studies, proposing new architectures or innovative evolutions of existing ones, and illustrating experiments on current technologies in order to improve the efficiency and effectiveness of distributed and cluster systems when they deal with spatiotempor...
Salvato in:
| Natura: | Online |
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| Lingua: | inglese |
| Pubblicazione: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Soggetti: | |
| Accesso online: | ONIX_20210501_9783039367504_685 |
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| _version_ | 1869525887928500224 |
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| collection | Directory of Open Access Books |
| description | This book aims at promoting new and innovative studies, proposing new architectures or innovative evolutions of existing ones, and illustrating experiments on current technologies in order to improve the efficiency and effectiveness of distributed and cluster systems when they deal with spatiotemporal data. |
| format | Online |
| id | doab-20.500.12854ir-68939 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-689392024-04-11T15:10:27Z Distributed and Parallel Architectures for Spatial Data Belussi, Alberto Migliorini, Sara Carra, Damiano Clementini, Eliseo spatial big data parallel processing MapReduce arable land quality (ALQ) GIS big data IoT Hadoop geospatial big data geospatial applications buffer analysis real-time visualization-oriented tile-pyramid parallel computing soil erosion modelling mobility data warehouses spatiotemporal OLAP mobility analytics location-based aggregate queries distributed processing technique grid structure MapReduce-based aggregate query algorithm watershed analysis multiple flow accumulation DEM CUDA OpenACC GPU sustainable development Agenda 2063 geoportal monitoring and evaluation geospatial data thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This book aims at promoting new and innovative studies, proposing new architectures or innovative evolutions of existing ones, and illustrating experiments on current technologies in order to improve the efficiency and effectiveness of distributed and cluster systems when they deal with spatiotemporal data. 2021-05-01T15:33:11Z 2021-05-01T15:33:11Z 2020 book ONIX_20210501_9783039367504_685 9783039367504 9783039367511 https://directory.doabooks.org/handle/20.500.12854/68939 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/2706 https://mdpi.com/books/pdfview/book/2706 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03936-751-1 10.3390/books978-3-03936-751-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039367504 9783039367511 170 Basel, Switzerland open access |
| spellingShingle | spatial big data parallel processing MapReduce arable land quality (ALQ) GIS big data IoT Hadoop geospatial big data geospatial applications buffer analysis real-time visualization-oriented tile-pyramid parallel computing soil erosion modelling mobility data warehouses spatiotemporal OLAP mobility analytics location-based aggregate queries distributed processing technique grid structure MapReduce-based aggregate query algorithm watershed analysis multiple flow accumulation DEM CUDA OpenACC GPU sustainable development Agenda 2063 geoportal monitoring and evaluation geospatial data thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Distributed and Parallel Architectures for Spatial Data |
| title | Distributed and Parallel Architectures for Spatial Data |
| title_full | Distributed and Parallel Architectures for Spatial Data |
| title_fullStr | Distributed and Parallel Architectures for Spatial Data |
| title_full_unstemmed | Distributed and Parallel Architectures for Spatial Data |
| title_short | Distributed and Parallel Architectures for Spatial Data |
| title_sort | distributed and parallel architectures for spatial data |
| topic | spatial big data parallel processing MapReduce arable land quality (ALQ) GIS big data IoT Hadoop geospatial big data geospatial applications buffer analysis real-time visualization-oriented tile-pyramid parallel computing soil erosion modelling mobility data warehouses spatiotemporal OLAP mobility analytics location-based aggregate queries distributed processing technique grid structure MapReduce-based aggregate query algorithm watershed analysis multiple flow accumulation DEM CUDA OpenACC GPU sustainable development Agenda 2063 geoportal monitoring and evaluation geospatial data thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | spatial big data parallel processing MapReduce arable land quality (ALQ) GIS big data IoT Hadoop geospatial big data geospatial applications buffer analysis real-time visualization-oriented tile-pyramid parallel computing soil erosion modelling mobility data warehouses spatiotemporal OLAP mobility analytics location-based aggregate queries distributed processing technique grid structure MapReduce-based aggregate query algorithm watershed analysis multiple flow accumulation DEM CUDA OpenACC GPU sustainable development Agenda 2063 geoportal monitoring and evaluation geospatial data thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20210501_9783039367504_685 |