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Conference Paper

HPC-Cloud-Big Data Convergent Architectures and Research Data Management: The LEXIS Approach

Authors

Hachinger,  Stephan
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Martinovic,  Jan
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Terzo,  Olivier
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Levrier,  Marc
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Scionti,  Alberto
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Magarielli,  Donato
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Goubier,  Thierry
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Parodi,  Antonio
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Harsh,  Piyush
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Apopei,  Florin-Ionut
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Munke,  Johannes
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García-Hernández,  Rubén J.
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Golasowski,  Martin
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Hayek,  Mohamad
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Donnat,  Frédéric
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Ganne,  Laurent
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Koch-Hofer,  Cédric
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Vitali,  Giacomo
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Viviani,  Paolo
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/persons/resource/ds

Schorlemmer,  Danijel
2.6 Seismic Hazard and Risk Dynamics, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Danovaro,  Emanuele
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Parodi,  Andrea
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Murphyo,  Seán
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Deesp,  Aaron
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Citation

Hachinger, S., Martinovic, J., Terzo, O., Levrier, M., Scionti, A., Magarielli, D., Goubier, T., Parodi, A., Harsh, P., Apopei, F.-I., Munke, J., García-Hernández, R. J., Golasowski, M., Hayek, M., Donnat, F., Ganne, L., Koch-Hofer, C., Vitali, G., Viviani, P., Schorlemmer, D., Danovaro, E., Parodi, A., Murphyo, S., Deesp, A. (2021): HPC-Cloud-Big Data Convergent Architectures and Research Data Management: The LEXIS Approach - Proceedings of Science, International Symposium on Grids & Clouds 2021 - ISGC2021 (Taipei, Taiwa 2021), 004.


Cite as: https://gfzpublic.gfz.de/pubman/item/item_5009773
Abstract
The LEXIS project (Large-scale EXecution for Industry & Society, H2020 GA825532) provides
a platform for optimised execution of Cloud-HPC workflows, reducing computation time and
increasing energy efficiency. The system will rely on advanced, distributed orchestration solutions
(Atos YSTIA Suite, with Alien4Cloud and Yorc, based on TOSCA), the High-End Application
Execution Middleware HEAppE, and new hardware capabilities for maximising efficiency in data
processing, analysis and transfer (e.g. Burst Buffers with GPU- and FPGA-based data reprocessing).
LEXIS handles computation tasks and data from three Pilots, based on representative and demanding
HPC/Cloud-Computing use cases in Industry (SMEs) and Science: i) Simulations of
complex turbomachinery and gearbox systems in Aeronautics, ii) Tsunami simulations and earthquake
loss assessments which are time-constrained to enable immediate warnings and to support
well-informed decisions, and iii) Weather and Climate simulations where massive amounts of
in-situ data are assimilated to improve forecasts. A user-friendly LEXIS web portal, as a unique
entry point, will provide access to data as well as workflow-handling and remote visualisation
functionality.
As part of its back-end, LEXIS builds an elaborate system for the handling of input, intermediate
and result data. At its core, a Distributed Data Infrastructure (DDI) ensures the availability of
LEXIS data at all participating HPC sites, which will be federated with a common LEXIS Authentication
and Authorisation Infrastructure (with unified security model, user database and policies).
The DDI leverages best of breed data-management solutions from EUDAT, such as B2SAFE
(based on iRODS) and B2HANDLE. REST APIs on top of it will ensure a smooth interaction with
LEXIS workflows and the orchestration layer. Last, but not least, the DDI will provide functionalities
for Research Data Management following the FAIR principles (“Findable, Interoperable,
Accessible, Reusable”), e.g. DOI acquisition, which helps to publish and disseminate open data
products.