运行中的高能物理数据网格D0SAR-Grid的性能
Performance of an Operating High Energy Physics Data Grid: D0SAR-Grid
摘要：
费米实验室Tevatron的D 0实验将在未来五年内记录数PB的数据，以追求理解自然和寻找质量起源的目标。分析这些数据所需的计算资源远远超过任何一个机构的能力。此外，D 0合作者的地理分布非常分散，给人力和计算资源的最佳利用带来了进一步的严重困难。这些困难将在未来的高能物理实验中加剧，比如LHC。计算网格一直被认为是解决这些问题的一种方法。通过在D 0南方分析区域（D 0 SAR）开发网格D 0 SAR-Grid，使用其中的所有可用资源和本地任务管理器McFarm，该技术正在D 0中为最终用户提供更直接的现实。我们将介绍D 0 SAR网格的实现架构，网格的技术和功能的使用，以及在模拟，再处理和数据分析中操作网格的经验，目前正在运行的HEP实验。
英文摘要：
The D0 experiment at Fermilab's Tevatron will record several petabytes of data over the next five years in pursuing the goals of understanding nature and searching for the origin of mass. Computing resources required to analyze these data far exceed capabilities of any one institution. Moreover, the widely scattered geographical distribution of D0 collaborators poses further serious difficulties for optimal use of human and computing resources. These difficulties will exacerbate in future high energy physics experiments, like the LHC. The computing grid has long been recognized as a solution to these problems. This technology is being made a more immediate reality to end users in D0 by developing a grid in the D0 Southern Analysis Region (D0SAR), D0SAR-Grid, using all available resources within it and a home-grown local task manager, McFarm. We will present the architecture in which the D0SAR-Grid is implemented, the use of technology and the functionality of the grid, and the experience from operating the grid in simulation, reprocessing and data analyses for a currently running HEP experiment.
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