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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Data Fusion In Cloud Computing: Big Data Approach

Authors:

Piotr Szuster, Jose M. Molina, Jesus Garcia-Herrero, Joanna Kolodziej

Published in:

 

 

 

(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

 

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

 

DOI:

https://doi.org/10.7148/2017-0569

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.

 

Full text: