基于信息网格的大型物理数据集查询
Querying Large Physics Data Sets Over an Information Grid
摘要：
优化使用Web（WWW）进行LHC数据分析是一个复杂的问题，并说明了全球分布的大量信息的集成和计算所带来的挑战。有时，找到正确的信息可能非常耗时，如果不是不可能的话。所谓的网格已经被提出来促进LHC计算，许多小组已经开始研究数据复制，数据迁移和网络哲学。其他方面，如网格的“中间件”的作用正在出现，需要研究。本文定位需要适当的中间件，使用户能够解决物理查询在海量数据集。它确定了元数据的查询解决的作用和信息网格的重要性，而不仅仅是计算或数据网格的高能物理分析。本文确定了正在实施的软件，在欧洲核子研究中心，使非常大的合作HEP数据集的查询，最初被用于建设CMS探测器。
英文摘要：
Optimising use of the Web (WWW) for LHC data analysis is a complex problem and illustrates the challenges arising from the integration of and computation across massive amounts of information distributed worldwide. Finding the right piece of information can, at times, be extremely time-consuming, if not impossible. So-called Grids have been proposed to facilitate LHC computing and many groups have embarked on studies of data replication, data migration and networking philosophies. Other aspects such as the role of 'middleware' for Grids are emerging as requiring research. This paper positions the need for appropriate middleware that enables users to resolve physics queries across massive data sets. It identifies the role of meta-data for query resolution and the importance of Information Grids for high-energy physics analysis rather than just Computational or Data Grids. This paper identifies software that is being implemented at CERN to enable the querying of very large collaborating HEP data-sets, initially being employed for the construction of CMS detectors.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
