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Archival data repository services to enable HPC and cloud workflows in a federated research e-infrastructure

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10.1109/SuperCompCloud51944.2020.00012
 
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hdl:2117/345967

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Alam, Sadaf R.
Bartolome, Javier
Bassiniz, Sanzio
Girona, Sergi
Kiapidou, Nikoleta
Document typeConference lecture
Defense date2021
PublisherInstitute of Electrical and Electronics Engineers
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectICEI - Interactive Computing E-Infrastructure for the Human Brain Project (EC-H2020-800858)
Abstract
Five European supercomputing centres, namely BSC (Spain), CEA (France), CINECA (Italy), CSCS (Switzerland), and JSC (Germany), agreed to align their high-end computing and storage services to facilitate the creation of the Fenix Research Infrastructure. In addition to the traditional extreme-scale computing and data services, Fenix provides a set of Cloud-type services as well as services needed for federation. In this paper, we describe the architecture of the Fenix infrastructure and how it can be used for representative workflows from the Human Brain Project (HBP). The concept of the Active Data Repository (ACD) is chosen to highlight demarcation between HPC and Cloud access models.
CitationAlam, S.R. [et al.]. Archival data repository services to enable HPC and cloud workflows in a federated research e-infrastructure. A: Interoperability of Supercomputing and Cloud Technologies (SuperCompCloud), IEEE/ACM International Workshop on. "2020 IEEE/ACM International Workshop on Interoperability of Supercomputing and Cloud Technologies (SuperCompCloud), 2020: proceedings: 11 November 2020, Atlanta, GA, USA"". Institute of Electrical and Electronics Engineers, 2021, p. 39-44. ISBN 978-1-6654-2272-7. DOI 10.1109/SuperCompCloud51944.2020.00012. 
URIhttp://hdl.handle.net/2117/345967
DOI10.1109/SuperCompCloud51944.2020.00012
ISBN978-1-6654-2272-7
Publisher versionhttps://ieeexplore.ieee.org/document/9308079/
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