Architecting software applications in containerized environment for CMS data acquisition

The data acquisition (DAQ) system stands as an essential component within the CMS experiment at CERN. It relies on a large network system of computers with demanding requirements on control, monitoring, configuration and high throughput communication. Furthermore, the DAQ system must accommodate various application scenarios, such as interfacing with external systems, accessing custom electronics devices for data readout, and event building. We present a versatile and highly modular programmable C++ framework designed for crafting applications tailored to various needs, facilitating development through the composition and integration of modules to achieve the desired DAQ capabilities. This framework takes advantage of reusable components and readily available off-the-shelf technologies. Applications are structured to seamlessly integrate into a containerized ecosystem, where the hierarchy of components and their aggregation is specified to form the final deployable unit to be used across multiple computers or nodes within an orchestrating environment. The utilization of the framework, along with the containerization of applications, enables coping with the complexity of implementing the CMS DAQ system by providing standardized structures and components to achieve a uniform and consistent architecture.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-07
DOI
https://doi.org/10.1051/epjconf/202533701075/pdf
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
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article

Architecting software applications in containerized environment for CMS data acquisition

Antonı́n Dvořák, Philipp Brummer, Wassef Karimeh, Christian Deldicque et al.
Springer Link (Chiba Institute of Technology)
Distributed and Parallel Computing Systems
article

Architecting software applications in containerized environment for CMS data acquisition

Antonı́n Dvořák, Philipp Brummer, Wassef Karimeh, Christian Deldicque, Guillermo Izquierdo Moreno, Theodoros Rizopoulos, Thomas Owen James, Dinyar Sebastian Rabady, U. Behrens, Andrea Petrucci, Jaafar Alawieh, Miguel Bacharov Durasov, Babatunde John Odetayo, Jan Andrzej Bugajski, Albert Corominas I Mariscot, Petr Zejdl, Antra Gaile, Patrycja Gorniak, Guillelmo Gomez-Ceballos, Dainius Šimelevičius, Georgiana-Lavinia Darlea, Attila Racz, James Branson, Frank Glege, Jeroen Hegeman, Sergio Cittolin, Polyneikis Tzanis, Eric Cano, Christos Emmanouil, Tejeswini Jayakumar, Christoph Schwick, Hannes Sakulin, Wei Li, Frans Meijers, Kenneth Long, Andrea Bocci, Srećko Morović, Emilio Meschi, Kareen Arutjunjan, Marc Dobson, Marco Pieri, Cristina Vazquez Velez, Christoph Paus, Rafał Krawczyk, Dominique Gigi
article en

Abstract

The data acquisition (DAQ) system stands as an essential component within the CMS experiment at CERN. It relies on a large network system of computers with demanding requirements on control, monitoring, configuration and high throughput communication. Furthermore, the DAQ system must accommodate various application scenarios, such as interfacing with external systems, accessing custom electronics devices for data readout, and event building. We present a versatile and highly modular programmable C++ framework designed for crafting applications tailored to various needs, facilitating development through the composition and integration of modules to achieve the desired DAQ capabilities. This framework takes advantage of reusable components and readily available off-the-shelf technologies. Applications are structured to seamlessly integrate into a containerized ecosystem, where the hierarchy of components and their aggregation is specified to form the final deployable unit to be used across multiple computers or nodes within an orchestrating environment. The utilization of the framework, along with the containerization of applications, enables coping with the complexity of implementing the CMS DAQ system by providing standardized structures and components to achieve a uniform and consistent architecture.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 27%
Distributed and Parallel Computing Systems
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