| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 02017 | |
| Number of page(s) | 7 | |
| Section | Online Computing | |
| DOI | https://doi.org/10.1051/epjconf/202429502017 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429502017
Kubernetes for the Deep Underground Neutrino Experiment Data Acquisition
1 Imperial College of Science Technology and Medicine, London SW7 2BZ, United Kingdom
2 University College London, London WC1E 6BT, United Kingdom
3 CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
4 University of Birmingham, Birmingham B15 2TT, United Kingdom
5 Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
6 STFC Rutherford Appleton Laboratory, Didcot OX11 0QX, United Kingdom
* e-mail: plasorak@imperial.ac.uk
Published online: 6 May 2024
The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline neutrino experiment based in the USA which is expected to start taking data in 2029. DUNE aims to precisely measure neutrino oscillation parameters by detecting neutrinos from the LBNF beamline (Fermilab) at the Far Detector, 1,300 kilometres away, in South Dakota at the Sanford Underground Research Facility. The Far Detector will consist of four cryogenic Liquid Argon Time Projection Chamber detectors of 17 kT, each producing more than 1 TB/sec of data. The main requirements for the data acquisition system are the ability to run continuously for extended periods of time, with a 99% up-time requirement, and the functionality to record both beam neutrinos and low energy neutrinos from the explosion of a neighbouring supernova, should one occur during the lifetime of the experiment. The key challenges are the high data rates that the detectors generate and the deep underground environment, which places constraints on power and space. To overcome these challenges, DUNE plans to use a highly optimised C++ software suite and a server farm of about 110 nodes continuously running about two hundred multicore processes located close to the detector, 1.5 kilometres underground. Thirty nodes will be at the surface and will run around two hundred processes simultaneously. DUNE is studying the use of the Kubernetes framework to manage containerised workloads and take advantage of its resource definitions and high up-time services to run the DAQ system. Progress in deploying these systems at the CERN neutrino platform on the prototype DUNE experiments is reported.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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