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A Containerized Tool to Deploy Scientific Applications over SoC-based Systems: The Case of Meteorological Forecasting with WRF

Topics: Application Containers; Cloud Application Portability; Cloud Management Platforms; Edge Cloud Network Management; High Performance Cloud Computing; High Performance Computing Cloud Applications ; Use Cases , Experiences with HPC Clouds

Authors: Luiz Angelo Steffenel 1 ; Andrea Schwertner Charão 2 and Bruno da Silva Alves 2

Affiliations: 1 CReSTIC Laboratory, Université de Reims Champagne-Ardenne, Reims and France ; 2 LSC Laboratory, Universidade Federal de Santa Maria, Santa Maria and Brazil

Keyword(s): Application Containers, High Performance Computing, Systems-on-a-Chip.

Abstract: Container-based virtualization represents a flexible and scalable solution for HPC environments, allowing a simple and efficient management of scientific applications. Recently, Systems-on-a-Chip (SoC) have emerged as an alternative to traditional HPC clusters, with a good computing power and low costs. In this paper, we present how we developed a container-based solution for SoC clusters, and study the performance of WRF (Weather Research and Forecasting) in such environments. The results demonstrate that although the peak performance of SoC clusters is still limited, these environments are more than suitable to scientific application that have relaxed QoS constraints.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Steffenel, L.; Charão, A. and Alves, B. (2019). A Containerized Tool to Deploy Scientific Applications over SoC-based Systems: The Case of Meteorological Forecasting with WRF. In Proceedings of the 9th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-365-0; ISSN 2184-5042, SciTePress, pages 561-568. DOI: 10.5220/0007799705610568

@conference{closer19,
author={Luiz Angelo Steffenel. and Andrea Schwertner Charão. and Bruno da Silva Alves.},
title={A Containerized Tool to Deploy Scientific Applications over SoC-based Systems: The Case of Meteorological Forecasting with WRF},
booktitle={Proceedings of the 9th International Conference on Cloud Computing and Services Science - CLOSER},
year={2019},
pages={561-568},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007799705610568},
isbn={978-989-758-365-0},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Cloud Computing and Services Science - CLOSER
TI - A Containerized Tool to Deploy Scientific Applications over SoC-based Systems: The Case of Meteorological Forecasting with WRF
SN - 978-989-758-365-0
IS - 2184-5042
AU - Steffenel, L.
AU - Charão, A.
AU - Alves, B.
PY - 2019
SP - 561
EP - 568
DO - 10.5220/0007799705610568
PB - SciTePress