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Peer-reviewed

Architecting software applications in containerized environment for CMS data acquisition

Jaafar Alawieh, Kareen Arutjunjan, Miguel Bacharov Durasov, U. Behrens, A. Bocci, J. G. Branson, Philipp Brummer, Jan Andrzej Bugajski, E. Cano, Sergio Cittolin, Albert Corominas I Mariscot, Georgiana-Lavinia Darlea, Christian Deldicque, Marc Dobson, Antonı́n Dvořák, Christos Emmanouil, Antra Gaile, D. Gigi, F. Glege, G. Gomez Ceballos, Patrycja Górniak, J. Hegeman, Guillermo Izquierdo Moreno, T. James, Tejeswini Jayakumar, Wassef Karimeh, R. D. Krawczyk, Wei Li, K. Long, F. Meijers, E. Meschi, Srećko Morović, Babatunde John Odetayo, L. Orsini, Christoph Paus, Andrea Petrucci, M. Pieri, Dinyar Sebastian Rabady, A. Rácz, Theodoros Rizopoulos, Hannes Sakulin, Christoph Schwick, Dainius Šimelevičius, P. Tzanis, Cristina Vazquez Velez, P. Zejdl

EPJ Web of Conferences · 2025

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Summary

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. Ap

Source type
Peer-reviewed study
DOI
10.1051/epjconf/202533701075
Catalogue ID
BFmoakviqe-3i69w9
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