Multi-node approach for map data processing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F19%3A10240374" target="_blank" >RIV/61989100:27740/19:10240374 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-981-13-3250-0_7" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-981-13-3250-0_7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-13-3250-0_7" target="_blank" >10.1007/978-981-13-3250-0_7</a>
Alternative languages
Result language
angličtina
Original language name
Multi-node approach for map data processing
Original language description
OpenStreetMap (OSM) is a popular collaborative open-source project that offers free editable map across the whole world. However, this data often needs a further on-purpose processing to become the utmost valuable information to work with. That is why the main motivation of this paper is to propose a design for big data processing along with data mining leading to the obtaining of statistics with a focus on the detail of a traffic data as a result in order to create graphs representing a road network. To ensure our High-Performance Computing (HPC) platform routing algorithms work correctly, it is absolutely essential to prepare OSM data to be useful and applicable for above-mentioned graph, and to store this persistent data in both spatial database and HDF5 format. (C) 2019, Springer Nature Singapore Pte Ltd.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing. Volume 897
ISBN
978-981-13-3249-4
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
14
Pages from-to
91-104
Publisher name
Springer
Place of publication
Singapur
Event location
Kalkata
Event date
Feb 9, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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