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DAQling: an open-source data acquisition framework

The Data AcQuisition (DAQ) software for most applications in high energy physics is composed of common building blocks, such as a networking layer, plug-in loading, configuration, and process management. These are often re-invented and developed from scratch for each project or experiment around spe...

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Autores principales: Boretto, Marco, Brylinski, Wojciech, Lehmann Miotto, Giovanna, Gamberini, Enrico, Sipos, Roland, Sonesten, Viktor Vilhelm
Lenguaje:eng
Publicado: 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/202024501026
http://cds.cern.ch/record/2756295
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author Boretto, Marco
Brylinski, Wojciech
Lehmann Miotto, Giovanna
Gamberini, Enrico
Sipos, Roland
Sonesten, Viktor Vilhelm
author_facet Boretto, Marco
Brylinski, Wojciech
Lehmann Miotto, Giovanna
Gamberini, Enrico
Sipos, Roland
Sonesten, Viktor Vilhelm
author_sort Boretto, Marco
collection CERN
description The Data AcQuisition (DAQ) software for most applications in high energy physics is composed of common building blocks, such as a networking layer, plug-in loading, configuration, and process management. These are often re-invented and developed from scratch for each project or experiment around specific needs. In some cases, time and available resources can be limited and make development requirements difficult or impossible to meet. Moved by these premises, our team developed an open-source lightweight C++ software framework called DAQling, to be used as the core for the DAQ systems of small and medium-sized experiments and collaborations. The framework offers a complete DAQ ecosystem, including a communication layer based on the widespread ZeroMQ messaging library, configuration management based on the JSON format, control of distributed applications, extendable operational monitoring with web-based visualisation, and a set of generic utilities. The framework comes with minimal dependencies, and provides automated host and build environment setup based on the Ansible automation tool. Finally, the end-user code is wrapped in so-called “Modules”, that can be loaded at configuration time, and implement specific roles. Several collaborations already chose DAQling as the core for their DAQ systems, such as FASER, RD51, and NA61/SHINE. We will present the framework and project-specific implementations and experiences.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
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spelling oai-inspirehep.net-18320102021-03-18T21:39:26Zdoi:10.1051/epjconf/202024501026http://cds.cern.ch/record/2756295engBoretto, MarcoBrylinski, WojciechLehmann Miotto, GiovannaGamberini, EnricoSipos, RolandSonesten, Viktor VilhelmDAQling: an open-source data acquisition frameworkComputing and ComputersDetectors and Experimental TechniquesThe Data AcQuisition (DAQ) software for most applications in high energy physics is composed of common building blocks, such as a networking layer, plug-in loading, configuration, and process management. These are often re-invented and developed from scratch for each project or experiment around specific needs. In some cases, time and available resources can be limited and make development requirements difficult or impossible to meet. Moved by these premises, our team developed an open-source lightweight C++ software framework called DAQling, to be used as the core for the DAQ systems of small and medium-sized experiments and collaborations. The framework offers a complete DAQ ecosystem, including a communication layer based on the widespread ZeroMQ messaging library, configuration management based on the JSON format, control of distributed applications, extendable operational monitoring with web-based visualisation, and a set of generic utilities. The framework comes with minimal dependencies, and provides automated host and build environment setup based on the Ansible automation tool. Finally, the end-user code is wrapped in so-called “Modules”, that can be loaded at configuration time, and implement specific roles. Several collaborations already chose DAQling as the core for their DAQ systems, such as FASER, RD51, and NA61/SHINE. We will present the framework and project-specific implementations and experiences.oai:inspirehep.net:18320102020
spellingShingle Computing and Computers
Detectors and Experimental Techniques
Boretto, Marco
Brylinski, Wojciech
Lehmann Miotto, Giovanna
Gamberini, Enrico
Sipos, Roland
Sonesten, Viktor Vilhelm
DAQling: an open-source data acquisition framework
title DAQling: an open-source data acquisition framework
title_full DAQling: an open-source data acquisition framework
title_fullStr DAQling: an open-source data acquisition framework
title_full_unstemmed DAQling: an open-source data acquisition framework
title_short DAQling: an open-source data acquisition framework
title_sort daqling: an open-source data acquisition framework
topic Computing and Computers
Detectors and Experimental Techniques
url https://dx.doi.org/10.1051/epjconf/202024501026
http://cds.cern.ch/record/2756295
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