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Optimised access to user analysis data using the gLite DPM

机译:使用gLite Dpm优化对用户分析数据的访问

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摘要

The ScotGrid distributed Tier-2 now provides more that 4MSI2K and 500TB for LHC computing, which is spread across three sites at Durham, Edinburgh and Glasgow. Tier-2 sites have a dual role to play in the computing models of the LHC VOs. Firstly, their CPU resources are used for the generation of Monte Carlo event data. Secondly, the end user analysis data is distributed across the grid to the site's storage system and held on disk ready for processing by physicists' analysis jobs. In this paper we show how we have designed the ScotGrid storage and data management resources in order to optimise access by physicists to LHC data. Within ScotGrid, all sites use the gLite DPM storage manager middleware. Using the EGEE grid to submit real ATLAS analysis code to process VO data stored on the ScotGrid sites, we present an analysis of the performance of the architecture at one site, and procedures that may be undertaken to improve such. The results will be presented from the point of view of the end user (in terms of number of events processed/second) and from the point of view of the site, which wishes to minimise load and the impact that analysis activity has on other users of the system.
机译:ScotGrid分布式Tier-2现在为LHC计算提供了超过4MSI2K和500TB的容量,这些分布在达勒姆,爱丁堡和格拉斯哥的三个站点。第2层站点在LHC VO的计算模型中扮演双重角色。首先,它们的CPU资源用于生成蒙特卡洛事件数据。其次,最终用户分析数据跨网格分布到站点的存储系统,并保存在磁盘上,供物理学家的分析工作进行处理。在本文中,我们展示了我们如何设计ScotGrid存储和数据管理资源,以优化物理学家对LHC数据的访问。在ScotGrid中,所有站点都使用gLite DPM存储管理器中间件。使用EGEE网格提交真实的ATLAS分析代码来处理存储在ScotGrid站点上的VO数据,我们对一个站点上的体系结构的性能进行了分析,并提出了改进该过程的程序。将以最终用户的角度(以每秒处理的事件数为单位)和站点的角度来呈现结果,这希望最大程度地减少负载以及分析活动对其他用户的影响系统的。

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