Data fusion in cloud computing: big data approach / Piotr Szuster, Jose M. Molina, Jesús García-Herrero, Joanna Kołodziej // W: 31st European Conference on Modelling and Simulation ECMS 2017, May 23rd ... więcej

Data fusion in cloud computing: big data approach / Piotr Szuster, Jose M. Molina, Jesús García-Herrero, Joanna Kołodziej // W: 31st European Conference on Modelling and Simulation ECMS 2017, May 23rd - May 26th, 2017, Budapest, Hungary : proceedings [Dokument elektroniczny] / ed. by Zita Zoltay Paprika [et al.] ; org. by ECMS. European Council for Modelling and Simulation. – [S.l.] : European Council for Modelling and Simulation, 2017. – (European Conference for Modelling and Simulation). – S. 569-575 : rys., schem. – Tryb dostępu: http://www.scs-europe.net/dlib/2017/ecms2017acceptedpapers/0569-dis_ECMS2017_0075.pdf. – Bibliogr. [9] poz., Abstr. – doi: 10.7148/2017-0569. – ISBN 978-0-9932440-4-9. – ISBN 978-0-9932440-5-6 (CD)

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 ... więcej

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.