The Large Hadron Collider (LHC) experiments soon step into the next period of run-3 data taking with an increased data rate and high pileup requiring an excellent working computing infrastructure. In the future High-Luminosity LHC (HL-LHC) data-taking period, the compute, storage and network facilities have to be further extended by large factors and flexible and sophisticated computing models are essential. New techniques of modern state-of-the-art methods in physics analysis and data science, Deep Learning and Big Data tools, are crucial to handle high-dimensional and more complex problems. Beside flexible cloud computing technologies the usage of High Performance Computing (HPC) at the LHC experiments are explored. In this presentation, I will discuss the LHC run-3 and future HL-LHC runs computing technologies and the utilization of modern physics analysis and data science methods for the increasing and complex demands of large-scale scientific co...

中文翻译：

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CMS实验中分布式计算的新挑战

大型强子对撞机（LHC）实验很快进入了下一次Run-3数据采集阶段，数据速率提高且堆积率高，需要出色的工作计算基础架构。在未来的高亮度LHC（HL-LHC）数据采集期间，必须通过较大的因素进一步扩展计算，存储和网络设施，灵活而复杂的计算模型至关重要。物理分析和数据科学中的现代最先进方法的新技术，深度学习和大数据工具，对于处理高维和更复杂的问题至关重要。除了灵活的云计算技术外，还在LHC实验中探索了高性能计算（HPC）的使用。在此演示中，