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Experience in CMS with the common analysis framework project
ATLAS, CERN-IT, and CMS embarked on a project to develop a common system for analysis workflow management, resource provisioning and job scheduling. This distributed computing infrastructure was based on elements of PanDA and prior CMS workflow tools. After an extensive feasibility study and develop...
| Autores principales: | , , , , , , , , , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2014
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/513/3/032064 http://cds.cern.ch/record/2026321 |
| _version_ | 1780947347195297792 |
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| author | Mascheroni, Marco Spiga, Daniele Boccali, Tommaso Bonacorsi, Daniele Cinquilli, Mattia Giordano, Domenico Fanzago, Federica Fisk, Ian Girone, Maria Hernandez, Jose Konstantinov, Preslav Magini, Niccol Mancinelli, Valentina Riahi, Hassen Saiz Santos, Lola Vaandering, Eric W |
| author_facet | Mascheroni, Marco Spiga, Daniele Boccali, Tommaso Bonacorsi, Daniele Cinquilli, Mattia Giordano, Domenico Fanzago, Federica Fisk, Ian Girone, Maria Hernandez, Jose Konstantinov, Preslav Magini, Niccol Mancinelli, Valentina Riahi, Hassen Saiz Santos, Lola Vaandering, Eric W |
| author_sort | Mascheroni, Marco |
| collection | CERN |
| description | ATLAS, CERN-IT, and CMS embarked on a project to develop a common system for analysis workflow management, resource provisioning and job scheduling. This distributed computing infrastructure was based on elements of PanDA and prior CMS workflow tools. After an extensive feasibility study and development of a proof-of-concept prototype, the project now has a basic infrastructure that supports the analysis use cases of both experiments via common services. In this paper we will discuss the state of the current solution and give an overview of all the components of the system. |
| id | oai-inspirehep.net-1302033 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2014 |
| record_format | invenio |
| spelling | oai-inspirehep.net-13020332022-08-17T13:29:08Zdoi:10.1088/1742-6596/513/3/032064http://cds.cern.ch/record/2026321engMascheroni, MarcoSpiga, DanieleBoccali, TommasoBonacorsi, DanieleCinquilli, MattiaGiordano, DomenicoFanzago, FedericaFisk, IanGirone, MariaHernandez, JoseKonstantinov, PreslavMagini, NiccolMancinelli, ValentinaRiahi, HassenSaiz Santos, LolaVaandering, Eric WExperience in CMS with the common analysis framework projectComputing and ComputersParticle Physics - ExperimentATLAS, CERN-IT, and CMS embarked on a project to develop a common system for analysis workflow management, resource provisioning and job scheduling. This distributed computing infrastructure was based on elements of PanDA and prior CMS workflow tools. After an extensive feasibility study and development of a proof-of-concept prototype, the project now has a basic infrastructure that supports the analysis use cases of both experiments via common services. In this paper we will discuss the state of the current solution and give an overview of all the components of the system.oai:inspirehep.net:13020332014 |
| spellingShingle | Computing and Computers Particle Physics - Experiment Mascheroni, Marco Spiga, Daniele Boccali, Tommaso Bonacorsi, Daniele Cinquilli, Mattia Giordano, Domenico Fanzago, Federica Fisk, Ian Girone, Maria Hernandez, Jose Konstantinov, Preslav Magini, Niccol Mancinelli, Valentina Riahi, Hassen Saiz Santos, Lola Vaandering, Eric W Experience in CMS with the common analysis framework project |
| title | Experience in CMS with the common analysis framework project |
| title_full | Experience in CMS with the common analysis framework project |
| title_fullStr | Experience in CMS with the common analysis framework project |
| title_full_unstemmed | Experience in CMS with the common analysis framework project |
| title_short | Experience in CMS with the common analysis framework project |
| title_sort | experience in cms with the common analysis framework project |
| topic | Computing and Computers Particle Physics - Experiment |
| url | https://dx.doi.org/10.1088/1742-6596/513/3/032064 http://cds.cern.ch/record/2026321 |
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