Discrete Event Modeling and Simulation-Driven Engineering for the ATLAS Data Acquisition Network
The authors present an iterative and incremental development methodology for simulation models in network engineering projects. Driven by the DEVS (Discrete Event Systems Specification) formal framework for modeling and simulation, they aim to assist network design, test, analysis, and optimization...
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2016
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15219615_v18_n3_p70_Bonaventura http://hdl.handle.net/20.500.12110/paper_15219615_v18_n3_p70_Bonaventura |
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paper:paper_15219615_v18_n3_p70_Bonaventura2023-06-08T16:19:19Z Discrete Event Modeling and Simulation-Driven Engineering for the ATLAS Data Acquisition Network best practices build CERN Computer simulation design LHC scientific computing software engineering test Colliding beam accelerators Computer simulation Computer software Data acquisition Design Iterative methods Natural sciences computing Software engineering Software testing Testing Best practices build CERN Data acquisition networks Discrete event systems Specifications Engineering best practice Iterative and incremental development Particle physics experiments Discrete event simulation The authors present an iterative and incremental development methodology for simulation models in network engineering projects. Driven by the DEVS (Discrete Event Systems Specification) formal framework for modeling and simulation, they aim to assist network design, test, analysis, and optimization processes. A practical application of the methodology is presented for a case study in the data acquisition system of the ATLAS particle physics experiment at CERN's Large Hadron Collider at CERN. By adopting the DEVS M&S formal framework in combination with software engineering best practices, the authors develop network simulation models along with enhanced modeling capabilities and boosted simulation performance for tools in a robust yet flexible way. © 2016 IEEE. 2016 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15219615_v18_n3_p70_Bonaventura http://hdl.handle.net/20.500.12110/paper_15219615_v18_n3_p70_Bonaventura |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
best practices build CERN Computer simulation design LHC scientific computing software engineering test Colliding beam accelerators Computer simulation Computer software Data acquisition Design Iterative methods Natural sciences computing Software engineering Software testing Testing Best practices build CERN Data acquisition networks Discrete event systems Specifications Engineering best practice Iterative and incremental development Particle physics experiments Discrete event simulation |
| spellingShingle |
best practices build CERN Computer simulation design LHC scientific computing software engineering test Colliding beam accelerators Computer simulation Computer software Data acquisition Design Iterative methods Natural sciences computing Software engineering Software testing Testing Best practices build CERN Data acquisition networks Discrete event systems Specifications Engineering best practice Iterative and incremental development Particle physics experiments Discrete event simulation Discrete Event Modeling and Simulation-Driven Engineering for the ATLAS Data Acquisition Network |
| topic_facet |
best practices build CERN Computer simulation design LHC scientific computing software engineering test Colliding beam accelerators Computer simulation Computer software Data acquisition Design Iterative methods Natural sciences computing Software engineering Software testing Testing Best practices build CERN Data acquisition networks Discrete event systems Specifications Engineering best practice Iterative and incremental development Particle physics experiments Discrete event simulation |
| description |
The authors present an iterative and incremental development methodology for simulation models in network engineering projects. Driven by the DEVS (Discrete Event Systems Specification) formal framework for modeling and simulation, they aim to assist network design, test, analysis, and optimization processes. A practical application of the methodology is presented for a case study in the data acquisition system of the ATLAS particle physics experiment at CERN's Large Hadron Collider at CERN. By adopting the DEVS M&S formal framework in combination with software engineering best practices, the authors develop network simulation models along with enhanced modeling capabilities and boosted simulation performance for tools in a robust yet flexible way. © 2016 IEEE. |
| title |
Discrete Event Modeling and Simulation-Driven Engineering for the ATLAS Data Acquisition Network |
| title_short |
Discrete Event Modeling and Simulation-Driven Engineering for the ATLAS Data Acquisition Network |
| title_full |
Discrete Event Modeling and Simulation-Driven Engineering for the ATLAS Data Acquisition Network |
| title_fullStr |
Discrete Event Modeling and Simulation-Driven Engineering for the ATLAS Data Acquisition Network |
| title_full_unstemmed |
Discrete Event Modeling and Simulation-Driven Engineering for the ATLAS Data Acquisition Network |
| title_sort |
discrete event modeling and simulation-driven engineering for the atlas data acquisition network |
| publishDate |
2016 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15219615_v18_n3_p70_Bonaventura http://hdl.handle.net/20.500.12110/paper_15219615_v18_n3_p70_Bonaventura |
| _version_ |
1768545344524648448 |