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Astronomical data organization, management and access in Scientific Data Lakes

The data volumes stored in telescope archives is constantly increasing due to the development and improvements in the instrumentation. Often the archives need to be stored over a distributed storage architecture, provided by independent compute centres. Such a distributed data archive requires overa...

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Detalles Bibliográficos
Autores principales: Grange, Y.G., Pandey, V.N., Espinal, X., Di Maria, R., Millar, A.P.
Lenguaje:eng
Publicado: 2022
Materias:
Acceso en línea:http://cds.cern.ch/record/2801201
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author Grange, Y.G.
Pandey, V.N.
Espinal, X.
Di Maria, R.
Millar, A.P.
author_facet Grange, Y.G.
Pandey, V.N.
Espinal, X.
Di Maria, R.
Millar, A.P.
author_sort Grange, Y.G.
collection CERN
description The data volumes stored in telescope archives is constantly increasing due to the development and improvements in the instrumentation. Often the archives need to be stored over a distributed storage architecture, provided by independent compute centres. Such a distributed data archive requires overarching data management orchestration. Such orchestration comprises of tools which handle data storage and cataloguing, and steering transfers integrating different storage systems and protocols, while being aware of data policies and locality. In addition, it needs a common Authorisation and Authentication Infrastructure (AAI) layer which is perceived as a single entity by end users and provides transparent data access. The scientific domain of particle physics also uses complex and distributed data management systems. The experiments at the Large Hadron Collider (LHC) accelerator at CERN generate several hundred petabytes of data per year. This data is globally distributed to partner sites and users using national compute facilities. Several innovative tools were developed to successfully address the distributed computing challenges in the context of the Worldwide LHC Computing Grid (WLCG). The work being carried out in the ESCAPE project and in the Data Infrastructure for Open Science (DIOS) work package is to prototype a Scientific Data Lake using the tools developed in the context of the WLCG, harnessing different physics scientific disciplines addressing FAIR standards and Open Data. We present how the Scientific Data Lake prototype is applied to address astronomical data use cases. We introduce the software stack and also discuss some of the differences between the domains.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2022
record_format invenio
spelling cern-28012012023-01-31T09:45:48Zhttp://cds.cern.ch/record/2801201engGrange, Y.G.Pandey, V.N.Espinal, X.Di Maria, R.Millar, A.P.Astronomical data organization, management and access in Scientific Data Lakesastro-ph.IMcs.DCDetectors and Experimental TechniquesComputing and ComputersThe data volumes stored in telescope archives is constantly increasing due to the development and improvements in the instrumentation. Often the archives need to be stored over a distributed storage architecture, provided by independent compute centres. Such a distributed data archive requires overarching data management orchestration. Such orchestration comprises of tools which handle data storage and cataloguing, and steering transfers integrating different storage systems and protocols, while being aware of data policies and locality. In addition, it needs a common Authorisation and Authentication Infrastructure (AAI) layer which is perceived as a single entity by end users and provides transparent data access. The scientific domain of particle physics also uses complex and distributed data management systems. The experiments at the Large Hadron Collider (LHC) accelerator at CERN generate several hundred petabytes of data per year. This data is globally distributed to partner sites and users using national compute facilities. Several innovative tools were developed to successfully address the distributed computing challenges in the context of the Worldwide LHC Computing Grid (WLCG). The work being carried out in the ESCAPE project and in the Data Infrastructure for Open Science (DIOS) work package is to prototype a Scientific Data Lake using the tools developed in the context of the WLCG, harnessing different physics scientific disciplines addressing FAIR standards and Open Data. We present how the Scientific Data Lake prototype is applied to address astronomical data use cases. We introduce the software stack and also discuss some of the differences between the domains.arXiv:2202.01828oai:cds.cern.ch:28012012022
spellingShingle astro-ph.IM
cs.DC
Detectors and Experimental Techniques
Computing and Computers
Grange, Y.G.
Pandey, V.N.
Espinal, X.
Di Maria, R.
Millar, A.P.
Astronomical data organization, management and access in Scientific Data Lakes
title Astronomical data organization, management and access in Scientific Data Lakes
title_full Astronomical data organization, management and access in Scientific Data Lakes
title_fullStr Astronomical data organization, management and access in Scientific Data Lakes
title_full_unstemmed Astronomical data organization, management and access in Scientific Data Lakes
title_short Astronomical data organization, management and access in Scientific Data Lakes
title_sort astronomical data organization, management and access in scientific data lakes
topic astro-ph.IM
cs.DC
Detectors and Experimental Techniques
Computing and Computers
url http://cds.cern.ch/record/2801201
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AT pandeyvn astronomicaldataorganizationmanagementandaccessinscientificdatalakes
AT espinalx astronomicaldataorganizationmanagementandaccessinscientificdatalakes
AT dimariar astronomicaldataorganizationmanagementandaccessinscientificdatalakes
AT millarap astronomicaldataorganizationmanagementandaccessinscientificdatalakes