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

A Scalable Online Monitoring System Based on Elasticsearch for Distributed Data Acquisition in Cms

Jean‐Marc André, U. Behrens, J. G. Branson, Philipp Brummer, Olivier Chaze, Sergio Cittolin, Diego da Silva Gomes, Georgiana-Lavinia Darlea, Christian Deldicque, Z. Demiragli, Marc Dobson, Nicolas Doualot, S. Erhan, Richard Fulcher Jonathan, D. Gigi, Maciej Gładki, F. Glege, G. Gomez Ceballos, J. Hegeman, André Holzner, M. Janulis, Michael Lettrich, Audrius Mečionis, Frans Meijers, E. Meschi, R. K. Mommsen, Srećko Morović, Vivian O’Dell, L. Orsini, I. Papakrivopoulos, Christoph M. E. Paus, Petia Petrova, Andrea Petrucci, M. Pieri, Dinyar Rabady, A. Rácz, V. Rapševičius, T. Reis, Hannes Sakulin, Christoph Schwick, Dainius Šimelevičius, Mantas Stankevičius, Cristina Vazquez Velez, Michail Vougioukas, Christian Wernet, Petr Zejdl

EPJ Web of Conferences · 2019

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Summary

This paper is not relevant to Vitagri's Pulse Brain catalogue. It describes a technical infrastructure solution for real-time monitoring of particle detector data acquisition at CERN's CMS experiment, using Elasticsearch as a distributed data management backend. The work addresses computational challenges in high-energy physics data systems rather than agricultural, soil, nutritional or food systems research.

UK applicability

Not applicable. This is a particle physics instrumentation paper with no connection to farming systems, soil health, nutrient density or human nutrition research conducted under UK conditions or informing UK agricultural policy.

Theme
Measurement & metrics
Subject
Other / interdisciplinary
Study type
Research
Study design
Conference paper
Source type
Conference paper
Status
Published
Geography
International
System type
Other
DOI
10.1051/epjconf/201921401048
Catalogue ID
BFmobghp9e-qq2bkl

Topic tags

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