Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialConference paper

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

This paper is not relevant to Vitagri's Pulse Brain. It describes the technical architecture of the Compact Muon Solenoid (CMS) particle physics experiment's data acquisition system, documenting a transition to containerised cloud infrastructure. The work concerns high-energy physics computing infrastructure rather than agricultural, food systems, soil health, nutrient density or human nutrition research.

UK applicability

This paper has no direct applicability to UK agricultural research, policy or practice, as it addresses particle physics computing infrastructure rather than farming systems or human nutrition.

Theme
General food systems / other
Subject
Other / interdisciplinary
Study type
Research
Study design
Conference paper
Source type
Conference paper
Status
Published
System type
Other
DOI
10.1051/epjconf/202429502031
Catalogue ID
BFmobghp9d-tpx54b

Topic tags

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