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intelligent Data Delivery Service (iDDS)
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. It has been designed to intelligently orchestrate workflow and data management systems, decoupling data pre-processing, delivery, and...
Autores principales: | , , , , , , , |
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Lenguaje: | eng |
Publicado: |
2022
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2799118 |
_version_ | 1780972521599795200 |
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author | Guan, Wen Maeno, Tadashi Padolski, Siarhei Bockelman, Brian Paul Wenaus, Torre Barreiro Megino, Fernando Harald Lin, Fa-Hui Zhang, Rui |
author_facet | Guan, Wen Maeno, Tadashi Padolski, Siarhei Bockelman, Brian Paul Wenaus, Torre Barreiro Megino, Fernando Harald Lin, Fa-Hui Zhang, Rui |
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. It 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 that has been deployed to serve data carousel, hyperparameter optimization, multiple-steps DAG (Directed Acyclic Graphs) workflows and so on. Here we will present the motivation for iDDS, the architecture, use cases and current status for ATLAS and Rubin Observatory exercise, and plans for the future. |
id | cern-2799118 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2022 |
record_format | invenio |
spelling | cern-27991182022-01-07T20:20:07Zhttp://cds.cern.ch/record/2799118engGuan, WenMaeno, TadashiPadolski, SiarheiBockelman, Brian PaulWenaus, TorreBarreiro Megino, Fernando HaraldLin, Fa-HuiZhang, Ruiintelligent Data Delivery Service (iDDS)Particle 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. It 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 that has been deployed to serve data carousel, hyperparameter optimization, multiple-steps DAG (Directed Acyclic Graphs) workflows and so on. Here we will present the motivation for iDDS, the architecture, use cases and current status for ATLAS and Rubin Observatory exercise, and plans for the future.ATL-SOFT-SLIDE-2022-001oai:cds.cern.ch:27991182022-01-07 |
spellingShingle | Particle Physics - Experiment Guan, Wen Maeno, Tadashi Padolski, Siarhei Bockelman, Brian Paul Wenaus, Torre Barreiro Megino, Fernando Harald Lin, Fa-Hui Zhang, Rui intelligent Data Delivery Service (iDDS) |
title | intelligent Data Delivery Service (iDDS) |
title_full | intelligent Data Delivery Service (iDDS) |
title_fullStr | intelligent Data Delivery Service (iDDS) |
title_full_unstemmed | intelligent Data Delivery Service (iDDS) |
title_short | intelligent Data Delivery Service (iDDS) |
title_sort | intelligent data delivery service (idds) |
topic | Particle Physics - Experiment |
url | http://cds.cern.ch/record/2799118 |
work_keys_str_mv | AT guanwen intelligentdatadeliveryserviceidds AT maenotadashi intelligentdatadeliveryserviceidds AT padolskisiarhei intelligentdatadeliveryserviceidds AT bockelmanbrianpaul intelligentdatadeliveryserviceidds AT wenaustorre intelligentdatadeliveryserviceidds AT barreiromeginofernandoharald intelligentdatadeliveryserviceidds AT linfahui intelligentdatadeliveryserviceidds AT zhangrui intelligentdatadeliveryserviceidds |