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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
Data Fusion In Cloud Computing: Big Data Approach |
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Authors: |
Piotr Szuster, Jose M. Molina,
Jesus Garcia-Herrero, Joanna Kolodziej
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Published in:
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(2017).ECMS 2017 Proceedings
Edited by: Zita Zoltay
Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi:10.7148/2017 ISBN:
978-0-9932440-4-9/ ISBN:
978-0-9932440-5-6 (CD) 31st European Conference on Modelling and Simulation, Budapest, Hungary, May 23rd
– May 26th, 2017 |
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Citation
format: |
Piotr Szuster, Jose M. Molina, Jesus
Garcia-Herrero, Joanna Kolodziej
(2017). Data Fusion In Cloud Computing: Big Data Approach, ECMS 2017
Proceedings Edited by: Zita Zoltay
Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council
for Modeling and Simulation. doi:
10.7148/2017-0569 |
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DOI: |
https://doi.org/10.7148/2017-0569 |
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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. |
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