Building a Distributed Computing System for LDMX : Challenges of creating and operating a lightweight e-infrastructure for small-to-medium size accelerator experiments
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/44d68837-044c-4112-a590-a326bed134ee
- author
- organization
- publishing date
- 2021-08-23
- 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}}, }