Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Towards a container-based architecture for CMS data acquisition

Vassileios Amoiridis, U. Behrens, A. Bocci, J. G. Branson, Philipp Brummer, E. Cano, Sergio Cittolin, Joao Da Silva Almeida Da Quintanilha, Georgiana-Lavinia Darlea, Christian Deldicque, Marc Dobson, Antonı́n Dvořák, D. Gigi, F. Glege, G. Gomez Ceballos, Patrycja Gorniak, Neven Gutić, J. Hegeman, Guillermo Izquierdo Moreno, T. James, Wassef Karimeh, Miltiadis Kartalas, R. D. Krawczyk, Wei Li, K. Long, F. Meijers, E. Meschi, Srećko Morović, 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, Y. Zhang, Dominika Zogatova

EPJ Web of Conferences · 2024

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Summary

The CMS data acquisition (DAQ) is implemented as a service-oriented architecture where DAQ applications, as well as general applications such as monitoring and error reporting, are run as self-contained services. The task of deployment and operation of services is achieved by using several heterogeneous facilities, custom configuration data and scripts in several languages. In this work, we restructure the existing system into a homogeneous, scalable cloud architecture adopting a uniform paradigm, where all applications are orchestrated in a uniform environment with standardized facilities. In this new paradigm DAQ applications are organized as groups of containers and the required software is packaged into container images. Automation of all aspects of coordinating and managing containers

Source type
Peer-reviewed study
DOI
10.1051/epjconf/202429502031
Catalogue ID
BFmoakviqe-0gi6hf
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