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Data fusion in cloud computing: big data approach
Authors:
- Piotr Szuster,
- Jose M. Molina,
- Jesús García-Herrero,
- Joanna Kołodziej
Abstract
Data Fusion System should maximize throughput during the complex fusion analytics in order to extract the critical information from a huge amount of data. Therefore, there is an immediate need to leverage efficient and dynamically scalable data processing infrastructure for the analysis of the Big Data streams from multiple sources in a timely and scalable manner. This is necessary for establishing the accurate Situation Awareness (SA) during the real time processes or real time simulations.
- Record ID
- CUTaac737a2bb4b4d4ba5c9af00406144ff
- Publication categories
- ; ;
- Author
- Pages
- 569-575
- Other elements of collation
- rys.; schem.; Bibliografia (na s.) - 574; Bibliografia (liczba pozycji) - [9]; Oznaczenie streszczenia - Abstr.
- Substantive notes
- Punktacja MNiSW/MEiN (rozdział) - 5
- Book
- Paprika Zita Zoltay, Zita Zoltay Paprika Horák Péter, Péter Horák Váradi Kata Kata Váradi [et al.] (eds.): 31st European Conference on Modelling and Simulation ECMS 2017, May 23rd - May 26th, 2017, Budapest, Hungary : proceedings, European Conference for Modelling and Simulation, 2017, [S.l.], European Council for Modelling and Simulation, ISBN 978-0-9932440-4-9
- Keywords in English
- computational cloud, data fusion, big data, data integration
- DOI
- DOI:10.7148/2017-0569 Opening in a new tab
- URL
- http://www.scs-europe.net/dlib/dl-index.htm Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 70
- Additional fields
- Indeksowana w: Web of Science, Scopus, CORE
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTaac737a2bb4b4d4ba5c9af00406144ff/
- URN
urn:pkr-prod:CUTaac737a2bb4b4d4ba5c9af00406144ff
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.