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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 fora smaller-scale collaboration. The Light Dark Matter eXperiment (LDMX) is aplanned small-scale accelerator-based experiment to search for dark matter inthe sub-GeV mass region. Finalizing the design of the detector relies onMonte-Carlo simulation of expected physics processes. A distributed computingpilot project was proposed to better utilize available resources at thecollaborating institutes, and to improve scalability and reproducibility. Thispaper outlines the chosen lightweight distributed solution, presentingrequirements, the component integration steps, and the experiences using apilot system for tests with large-scale simulations. The system leveragesexisting technologies wherever possible, minimizing the need for softwaredevelopment, and deploys only non-intrusive components at the participatingsites. The pilot proved that integrating existing components can dramaticallyreduce the effort needed to build and operate a distributed e-infrastructure,making it attainable even for smaller research collaborations.

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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