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An intelligent Data Delivery Service for and beyond the ATLAS Experiment
The intelligent Data Delivery Service (iDDS) has been developed to cope with the huge increase of computing and storage resource usage in the coming LHC data taking. iDDS has been designed to intelligently orchestrate workflow and data management systems, decoupling data pre-processing, delivery, an...
Autores principales: | , , , , , , , , |
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Lenguaje: | eng |
Publicado: |
2021
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2765400 |
_version_ | 1780971146358816768 |
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author | Guan, Wen Maeno, Tadashi Bockelman, Brian Paul Wenaus, Torre Lin, Fa-Hui Padolski, Siarhei Zhang, Rui Alekseev, Aleksandr Barreiro Megino, Fernando Harald |
author_facet | Guan, Wen Maeno, Tadashi Bockelman, Brian Paul Wenaus, Torre Lin, Fa-Hui Padolski, Siarhei Zhang, Rui Alekseev, Aleksandr Barreiro Megino, Fernando Harald |
author_sort | Guan, Wen |
collection | CERN |
description | The intelligent Data Delivery Service (iDDS) has been developed to cope with the huge increase of computing and storage resource usage in the coming LHC data taking. iDDS has been designed to intelligently orchestrate workflow and data management systems, decoupling data pre-processing, delivery, and main processing in various workflows. It is an experiment-agnostic service around a workflow-oriented structure to work with existing and emerging use cases in ATLAS and other experiments. Here we will present the motivation for iDDS, its design schema and architecture, use cases and current status, and plans for the future. |
id | cern-2765400 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2021 |
record_format | invenio |
spelling | cern-27654002022-08-23T08:28:32Zhttp://cds.cern.ch/record/2765400engGuan, WenMaeno, TadashiBockelman, Brian PaulWenaus, TorreLin, Fa-HuiPadolski, SiarheiZhang, RuiAlekseev, AleksandrBarreiro Megino, Fernando HaraldAn intelligent Data Delivery Service for and beyond the ATLAS ExperimentParticle Physics - ExperimentThe intelligent Data Delivery Service (iDDS) has been developed to cope with the huge increase of computing and storage resource usage in the coming LHC data taking. iDDS has been designed to intelligently orchestrate workflow and data management systems, decoupling data pre-processing, delivery, and main processing in various workflows. It is an experiment-agnostic service around a workflow-oriented structure to work with existing and emerging use cases in ATLAS and other experiments. Here we will present the motivation for iDDS, its design schema and architecture, use cases and current status, and plans for the future.ATL-SOFT-SLIDE-2021-120oai:cds.cern.ch:27654002021-04-28 |
spellingShingle | Particle Physics - Experiment Guan, Wen Maeno, Tadashi Bockelman, Brian Paul Wenaus, Torre Lin, Fa-Hui Padolski, Siarhei Zhang, Rui Alekseev, Aleksandr Barreiro Megino, Fernando Harald An intelligent Data Delivery Service for and beyond the ATLAS Experiment |
title | An intelligent Data Delivery Service for and beyond the ATLAS Experiment |
title_full | An intelligent Data Delivery Service for and beyond the ATLAS Experiment |
title_fullStr | An intelligent Data Delivery Service for and beyond the ATLAS Experiment |
title_full_unstemmed | An intelligent Data Delivery Service for and beyond the ATLAS Experiment |
title_short | An intelligent Data Delivery Service for and beyond the ATLAS Experiment |
title_sort | intelligent data delivery service for and beyond the atlas experiment |
topic | Particle Physics - Experiment |
url | http://cds.cern.ch/record/2765400 |
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