Distributed data analysis in LHCb
Distributed data analysis in LHCb
复制标题
LHCb 中的分布式数据分析
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
A. Maier
中科院分区：
文献类型：
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作者：
S. Paterson;A. Maier
LHCb分布式数据分析系统由Ganga作业提交前端和DIRAC数据库和数据管理系统（WMS）组成。Ganga是与ATLAS联合开发的，允许LHCb用户在多个后端上提交作业，包括：多个批处理系统、LCG和DIRAC。DIRAC API为用户向网格运行作业提供了一种透明和安全的方式，并且是LHCb虚拟组织（VO）的默认提交模式。Ganga利用这一点为LHCb执行分布式用户分析。该系统为LHCb在各种异构环境中提供了一致，高效和简单的用户体验，并促进了从本地测试作业到全球LHC计算网格的用户分析的增量开发。随着用户数量的稳步增长，LHCb分布式分析系统在过去两年中得到了调整和增强。本文将介绍最近的发展，以支持分布式数据分析的LHCb实验WLCG。
The LHCb distributed data analysis system consists of the Ganga job submission front-end and the DIRAC Workload and Data Management System (WMS). Ganga is jointly developed with ATLAS and allows LHCb users to submit jobs on several backends including: several batch systems, LCG and DIRAC. The DIRAC API provides a transparent and secure way for users to run jobs to the Grid and is the default mode of submission for the LHCb Virtual Organisation (VO). This is exploited by Ganga to perform distributed user analysis for LHCb. This system provides LHCb with a consistent, efficient and simple user experience in a variety of heterogeneous environments and facilitates the incremental development of user analysis from local test jobs to the Worldwide LHC Computing Grid. With a steadily increasing number of users, the LHCb distributed analysis system has been tuned and enhanced over the past two years. This paper will describe the recent developments to support distributed data analysis for the LHCb experiment on WLCG.