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Building a Distributed Computing System for LDMX : Challenges of creating and operating a lightweight e-infrastructure for small-to-medium size accelerator experiments

Bryngemark, Lene Kristian LU ; Cameron, David ; Dutta, Valentina ; Eichlersmith, Thomas ; Konya, Balazs LU ; Moreno, Omar ; Mullier, Geoffrey André Adrien LU ; Paganelli, Florido LU ; Pöttgen, Ruth LU orcid and Rogers, Fuzzy , et al. (2021) International Conference on Computing in High-Energy and Nuclear Physics 251.
Abstract
Particle physics experiments rely extensively on computing and data services, making e-infrastructure an integral part of the research collaboration. Constructing and operating distributed computing can however be challenging for a smaller-scale collaboration.
The Light Dark Matter eXperiment (LDMX) is a planned small-scale accelerator-based experiment to search for dark matter in the sub-GeV mass region. Finalizing the design of the detector relies on Monte-Carlo simulation of expected physics processes. A distributed computing pilot project was proposed to better utilize available resources at the collaborating institutes, and to improve scalability and reproducibility.
This paper outlines the chosen lightweight distributed... (More)
Particle physics experiments rely extensively on computing and data services, making e-infrastructure an integral part of the research collaboration. Constructing and operating distributed computing can however be challenging for a smaller-scale collaboration.
The Light Dark Matter eXperiment (LDMX) is a planned small-scale accelerator-based experiment to search for dark matter in the sub-GeV mass region. Finalizing the design of the detector relies on Monte-Carlo simulation of expected physics processes. A distributed computing pilot project was proposed to better utilize available resources at the collaborating institutes, and to improve scalability and reproducibility.
This paper outlines the chosen lightweight distributed solution, presenting requirements, the component integration steps, and the experiences using a pilot system for tests with large-scale simulations. The system leverages existing technologies wherever possible, minimizing the need for software development, and deploys only non-intrusive components at the participating sites. The pilot proved that integrating existing components can dramatically reduce the effort needed to build and operate a distributed e-infrastructure, making it attainable even for smaller research collaborations. (Less)
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organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Distributed Computing, Accelerator Experiments, Light Dark Matter eXperiment
host publication
EPJ Web of Conferences : 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021) - 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
volume
251
article number
02038
pages
10 pages
publisher
EDP Sciences
conference name
International Conference on Computing in High-Energy and Nuclear Physics
conference dates
2021-05-17 - 2021-05-21
ISBN
2100-014X
DOI
10.1051/epjconf/202125102038
project
The Light Dark Matter eXperiment
language
English
LU publication?
yes
id
44d68837-044c-4112-a590-a326bed134ee
date added to LUP
2024-09-28 19:51:11
date last changed
2024-09-30 08:10:12
@inproceedings{44d68837-044c-4112-a590-a326bed134ee,
  abstract     = {{Particle physics experiments rely extensively on computing and data services, making e-infrastructure an integral part of the research collaboration. Constructing and operating distributed computing can however be challenging for a smaller-scale collaboration.<br/>The Light Dark Matter eXperiment (LDMX) is a planned small-scale accelerator-based experiment to search for dark matter in the sub-GeV mass region. Finalizing the design of the detector relies on Monte-Carlo simulation of expected physics processes. A distributed computing pilot project was proposed to better utilize available resources at the collaborating institutes, and to improve scalability and reproducibility.<br/>This paper outlines the chosen lightweight distributed solution, presenting requirements, the component integration steps, and the experiences using a pilot system for tests with large-scale simulations. The system leverages existing technologies wherever possible, minimizing the need for software development, and deploys only non-intrusive components at the participating sites. The pilot proved that integrating existing components can dramatically reduce the effort needed to build and operate a distributed e-infrastructure, making it attainable even for smaller research collaborations.}},
  author       = {{Bryngemark, Lene Kristian and Cameron, David and Dutta, Valentina and Eichlersmith, Thomas and Konya, Balazs and Moreno, Omar and Mullier, Geoffrey André Adrien and Paganelli, Florido and Pöttgen, Ruth and Rogers, Fuzzy and Salnikov, Andrii and Weakliem, Paul}},
  booktitle    = {{EPJ Web of Conferences : 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)}},
  isbn         = {{2100-014X}},
  keywords     = {{Distributed Computing; Accelerator Experiments; Light Dark Matter eXperiment}},
  language     = {{eng}},
  month        = {{08}},
  publisher    = {{EDP Sciences}},
  title        = {{Building a Distributed Computing System for LDMX : Challenges of creating and operating a lightweight e-infrastructure for small-to-medium size accelerator experiments}},
  url          = {{http://dx.doi.org/10.1051/epjconf/202125102038}},
  doi          = {{10.1051/epjconf/202125102038}},
  volume       = {{251}},
  year         = {{2021}},
}