Treffer: Distributed and Parallel Architectures for Spatial Data
Title:
Distributed and Parallel Architectures for Spatial Data
Contributors:
Belussi, Alberto, Migliorini, Sara, Carra, Damiano, Clementini, Eliseo
Publisher Information:
MDPI - Multidisciplinary Digital Publishing Institute
Publication Year:
2021
Collection:
Directory of Open Access Books (DOAB)
Subject Terms:
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
Document Type:
other/unknown material
File Description:
application/octet-stream
Language:
English
Relation:
ONIX_20210501_9783039367504_685; https://mdpi.com/books/pdfview/book/2706
Availability:
Rights:
open access
Accession Number:
edsbas.8BF2CBA1
Database:
BASE
Weitere Informationen
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.