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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Detalles Bibliográficos
Autores principales: Bonaventura, M., Foguelman, D., Castro, R.
Formato: JOUR
Materias:
LHC
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_15219615_v18_n3_p70_Bonaventura
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spelling todo:paper_15219615_v18_n3_p70_Bonaventura2023-10-03T16:20:40Z Discrete Event Modeling and Simulation-Driven Engineering for the ATLAS Data Acquisition Network Bonaventura, M. Foguelman, D. Castro, R. 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. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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
Bonaventura, M.
Foguelman, D.
Castro, R.
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.
format JOUR
author Bonaventura, M.
Foguelman, D.
Castro, R.
author_facet Bonaventura, M.
Foguelman, D.
Castro, R.
author_sort Bonaventura, M.
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
url http://hdl.handle.net/20.500.12110/paper_15219615_v18_n3_p70_Bonaventura
work_keys_str_mv AT bonaventuram discreteeventmodelingandsimulationdrivenengineeringfortheatlasdataacquisitionnetwork
AT foguelmand discreteeventmodelingandsimulationdrivenengineeringfortheatlasdataacquisitionnetwork
AT castror discreteeventmodelingandsimulationdrivenengineeringfortheatlasdataacquisitionnetwork
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