Overview of the ATLAS distributed computing system
Overview of the ATLAS distributed computing system
复制标题
ATLAS分布式计算系统概述
DOI：
10.1051/epjconf/201921403010
复制
发表时间：
2019
影响因子：
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通讯作者：
A. Girolamo
中科院分区：
文献类型：
--
作者：
J. Elmsheuser;A. Girolamo
CERN ATLAS实验成功地使用了全球计算基础设施来支持LHC运行2期间的物理计划。网格工作流系统PanDA通常管理25万到50万个并发运行的生产和分析作业，以处理模拟和检测器数据。总的来说，超过370 PB的数据分布在WLCG的150多个站点上，并由ATLAS数据管理系统Rucio处理。为了在未来的运行中为不断增长的LHC亮度做好准备，正在进行新的开发，以更有效地利用机会资源，如HPC和利用新技术。本文将回顾和解释ATLAS分布式计算系统的概述和性能，并展望大型强子对撞机运行3开始时的新工作流程和数据管理想法。它将被讨论的ATLAS工作流程和数据管理系统是强大的，高性能的，可以很容易地科普更高的运行2 LHC的性能。目前没有扩展问题，每个子系统都能够承受大负载。
The CERN ATLAS experiment successfully uses a worldwide computing infrastructure to support the physics program during LHC Run 2. The Grid workflow system PanDA routinely manages 250 to 500 thousand concurrently running production and analysis jobs to process simulation and detector data. In total more than 370 PB of data is distributed over more than 150 sites in the WLCG and handled by the ATLAS data management system Rucio. To prepare for the ever growing LHC luminosity in future runs new developments are underway to even more efficiently use opportunistic resources such as HPCs and utilize new technologies. This paper will review and explain the outline and the performance of the ATLAS distributed computing system and give an outlook to new workflow and data management ideas for the beginning of the LHC Run 3. It will be discussed that the ATLAS workflow and data management systems are robust, performant and can easily cope with the higher Run 2 LHC performance. There are presently no scaling issues and each subsystem is able to sustain the large loads.