EPJ Web Conf.
Volume 251, 202125th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|Number of page(s)||11|
|Section||Collaboration, Education, Training and Outreach|
|Published online||23 August 2021|
A proposal for Open Access data and tools multi-user deployment using ATLAS Open Data for Education
1 LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France
2 INFN Gruppo Collegato di Udine, Dipartimento Politecnico di Ingegneria ed Architettura, Universita’ di Udine, Udine, Italy
* e-mail: firstname.lastname@example.org
Published online: 23 August 2021
The deployment of analysis pipelines has been tightly related and conditioned to the scientific facility’s computer infrastructure or academic institution where it is carried on. Nowadays, Software as a Service (SaaS) and Infrastructure as a Service (IaaS) have reshaped the industry of data handling, analysis, storage, and sharing. The sector of science does not escape those changes. This situation is particularly true in multinational collaborations, where distributed resources allow researchers to deploy data analysis in diverse computational ecosystems. This project explores how the current multi-cloud (e.g., SaaS + IaaS) approach can be adapted to modest scenarios where analysis pipelines can be deployed using containers and virtual machines containing analysis tools and protocols. This approach aims to replicate sophisticated computer facilities in places with fewer resources like small universities, start-ups, and even individuals who want to learn and contribute to this and other sciences and its replicability. It is desired to explore the development of multi-cloud-compatible tools in physics analysis and operations monitoring using ATLAS experimental and simulated data, adding the Big Data component that the High Energy Physics field has by nature.
© The Authors, published by EDP Sciences, 2021
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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