EPJ Web Conf.
Volume 245, 202024th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|Number of page(s)||8|
|Section||7 - Facilities, Clouds and Containers|
|Published online||16 November 2020|
Running HTC and HPC applications opportunistically across private, academic and public clouds
UK Atomic Energy Authority, Culham Science Centre, Oxfordshire, OX14 3DB, United Kingdom
2 Instituto de Instrumentación para Imagen Molecular (I3M), Centro mixto CSIC – Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain
3 The EGI Foundation, Science Park 140, 1098 XG Amsterdam, The Netherland
4 Max-Planck-Institut für Plasmaphysik, Garching bei München, Boltzmannstr. 2, D-85748, Germany
* Corresponding author: email@example.com
Published online: 16 November 2020
The Fusion Science Demonstrator in the European Open Science Cloud for Research Pilot Project aimed to demonstrate that the fusion community can make use of distributed cloud resources. We developed a platform, Prominence, which enables users to transparently exploit idle cloud resources for running scientific workloads. In addition to standard HTC jobs, HPC jobs such as multi-node MPI are supported. All jobs are run in containers to ensure they will reliably run anywhere and are reproduceable. Cloud infrastructure is invisible to users, as all provisioning, including extensive failure handling, is completely automated. On-premises cloud resources can be utilised and at times of peak demand burst onto external clouds. In addition to the traditional “cloud-bursting” onto a single cloud, Prominence allows for bursting across many clouds in a hierarchical manner. Job requirements are taken into account, so jobs with special requirements, e.g. high memory or access to GPUs, are sent only to appropriate clouds. Here we describe Prominence, its architecture, the challenges of using many clouds opportunistically and report on our experiences with several fusion use cases.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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