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May 8 – 12, 2023
Norfolk Waterside Marriott
US/Eastern timezone

Kubernetes for DUNE DAQ

May 9, 2023, 5:30 PM
Marriott Ballroom V-VI (Norfolk Waterside Marriott)

Marriott Ballroom V-VI

Norfolk Waterside Marriott

235 East Main Street Norfolk, VA 23510
Oral Track 2 - Online Computing Track 2 - Online Computing


Lasorak, Pierre (Imperial College London)


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, 1300 kilometres away, in South Dakota. The Far Detector will consist of four cryogenic Liquid Argon Time Projection Chamber (LArTPC) detectors of 17kT, each producing more than 1 TB/s of data. The main requirements for the data acquisition (DAQ) system are the ability to run continuously for extended periods of time, with a 99% uptime requirement, and the functionality to record 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, the DUNE experiment plans to use a highly efficient C++ software suite and a server farm of about 110 nodes continuously running about two hundred processes located close to the detector, 1.5 miles underground. Thirty nodes will be at the surface and will run around two hundred processes simultaneously. DUNE is studying the use the Kubernetes framework to distribute containerised workloads and take advantage of its resource definitions and high uptime services to run the DAQ system. Progress in deploying these systems at the CERN neutrino platform on the prototype DUNE experiments (ProtoDUNE) were also made.

Consider for long presentation Yes

Primary author

Lasorak, Pierre (Imperial College London)

Presentation materials

Peer reviewing