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Next generation database relational solutions for ATLAS distributed computing

机译:用于ATLAS分布式计算的下一代数据库关系解决方案

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The ATLAS Distributed Computing (ADC) project delivers production tools and services for ATLAS offline activities such as data placement and data processing on the Grid.The system has been capable of sustaining with high efficiency the needed computing activities during the first run of LHC data taking, and has demonstrated flexibility in reacting promptly to new challenges.Databases are a vital part of the whole ADC system.The Oracle Relational Database Management System (RDBMS) has been addressing a majority of the ADC database requirements for many years.Much expertise was gained through the years and without a doubt will be used as a good foundation for the next generation PanDA (Production ANd Distributed Analysis) and DDM (Distributed Data Management) systems.In this paper we present the current production ADC database solutions and notably the planned changes on the PanDA system, and the next generation ATLAS DDM system called Rucio.Significant work was performed on studying different solutions to arrive at the best relational and physical database model for performance and scalability in order to be ready for deployment and operation in 2014.
机译:分布在ATLAS计算(ADC)项目提供生产工具和服务,为ATLAS线下活动,如数据放置和数据Grid.The系统的处理已经能够以高效率维持的必要的LHC数据以第一运行期间计算活动,并显示了灵活性,迅速响应新challenges.Databases是整个ADC系统。Oracle关系数据库管理系统(RDBMS)已经解决大部分的许多years.Much专长ADC数据库需求的重要组成部分得到了经过多年毫无疑问将被用作下一代熊猫了良好的基础(生产和分布式分析)和DDM(分布式数据管理)systems.In本文提出了当前的生产ADC的数据库解决方案和显着的调整计划熊猫系统,并呼吁Rucio.Significant工作下一代ATLAS DDM系统上钻研DIF执行ferent解决方案,以实现性能和可扩展性最好的关系和物理数据模型,以准备好部署和操作在2014年到达。

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