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.

中文翻译：

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为LDMX构建分布式计算系统：为中小型加速器实验创建和运行轻量级电子基础设施的挑战

粒子物理实验广泛依赖于计算和数据服务，使电子基础设施成为研究合作不可或缺的一部分。但是，对于较小规模的协作而言，构建和运行分布式计算可能会面临挑战。浅色暗物质实验（LDMX）是一项计划中的，基于小型加速器的实验，用于在次GeV质量区域中搜索暗物质。最终确定探测器的设计依赖于预期物理过程的蒙特卡洛模拟。提出了一个分布式计算试点项目，以更好地利用合作机构中的可用资源，并提高可伸缩性和可重复性。本文概述了所选的轻量级分布式解决方案，提出了要求，组件集成步骤，以及使用试验系统进行大规模仿真测试的经验。该系统尽可能利用现有技术，从而最大程度地减少了软件开发的需求，并且仅在参与站点上部署非侵入式组件。该试点证明，集成现有组件可以极大地减少构建和操作分布式电子基础架构所需的工作量，即使是规模较小的研究合作也可以实现。