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Exascale Flood Modelling in Environment Supporting Urgent Computing

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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1075))

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Abstract

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.

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Acknowledgment

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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Authors and Affiliations

  1. Institute of Informatics, Slovak Academy of Sciences, Dúbravská cesta 9, 845 07, Bratislava, Slovakia

    Martin Bobák, Ondrej Habala & Ladislav Hluchý

Authors
  1. Martin Bobák
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  2. Ondrej Habala
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  3. Ladislav Hluchý
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Corresponding author

Correspondence to Martin Bobák .

Editor information

Editors and Affiliations

  1. The University of Aizu, Aizuwakamatsu, Japan

    Yong Liu

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

  3. Computer Science and Mathematics, University of Sao Paulo, Ribeirao Preto, Brazil

    Liang Zhao

  4. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

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Bobák, M., Habala, O., Hluchý, L. (2020). Exascale Flood Modelling in Environment Supporting Urgent Computing. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1075. Springer, Cham. https://doi.org/10.1007/978-3-030-32591-6_41

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