Exascale Flood Modelling in Environment Supporting Urgent Computing

  • Martin BobákEmail author
  • Ondrej Habala
  • Ladislav Hluchý
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1075)


The ability to use exascale systems to provide urgent decision making support critically depends on the ability of supercomputing centers to adopt urgent computing as a new use mode. The paper presents the new approach for the complex modelling of floods within a exascale system supporting urgent computing. The main challenges coming from the complex flood modelling are: (1) the extreme size of the data, and (2) the complexity of the structure of the data. To address these challenges, we have chosen four research domains which are the core approaches shaping the Urgent Computing for Exascale Data (U-COMP) platform: (1) composition and orchestration of e-service processes with support of urgent computing, (2) use of semantic web technologies in describing the services and domain components of the processes, (3) interoperability of cloud environments and HPC resources and their compatibility with urgent computing, and (4) scalable and distributed aggregation and analysis of data.


Urgent computing Flood modelling Simulations Architecture 



This work is supported by project APVV-17–0619 (U-COMP) “Urgent Computing for Exascale Data”, and project VEGA 2/0167/16 “Methods and algorithms for the semantic processing of Big Data in distributed computing environment”.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Martin Bobák
    • 1
    Email author
  • Ondrej Habala
    • 1
  • Ladislav Hluchý
    • 1
  1. 1.Institute of InformaticsSlovak Academy of SciencesBratislavaSlovakia

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