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Design and performance of the virtualization platform for offline computing on the ATLAS TDAQ Farm

机译:ATLAS TDAQ农场离线计算的虚拟化平台的设计与性能

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With the LHC collider at CERN currently going through the period of Long Shutdown 1 there is an opportunity to use the computing resources of the experiments' large trigger farms for other data processing activities. In the case of the ATLAS experiment, the TDAQ farm, consisting of more than 1500 compute nodes, is suitable for running Monte Carlo (MC) production jobs that are mostly CPU and not I/O bound. This contribution gives a thorough review of the design and deployment of a virtualized platform running on this computing resource and of its use to run large groups of CernVM based virtual machines operating as a single CERN-P1 WLCG site. This platform has been designed to guarantee the security and the usability of the ATLAS private network, and to minimize interference with TDAQ's usage of the farm. Openstack has been chosen to provide a cloud management layer. The experience gained in the last 3.5 months shows that the use of the TDAQ farm for the MC simulation contributes to the ATLAS data processing at the level of a large Tier-1 WLCG site, despite the opportunistic nature of the underlying computing resources being used.
机译:随着CERN的LHC撞机目前经历长期关闭的时间1,有机会使用实验的大型触发器场的计算资源进行其他数据处理活动。在ATLAS实验中,TDAQ农场,由超过1500个计算节点的情况下,大多是CPU和未I / O绑定适合于跑步蒙特卡洛(MC)的生产作业。此贡献为在此计算资源上运行的虚拟化平台的设计和部署提供了全面的审查,并且其用于运行作为单个Cern-P1 WLCG站点运行的大型CernVM虚拟机。该平台旨在保证ATLAS专用网络的安全性和可用性,并最大限度地减少对TDAQ对农场使用的干扰。已选择OpenStack以提供云管理层。在过去的3.5个月中获得的经验表明,尽管所使用的底层计算资源的机会性质,但是对于MC模拟的TDAQ农场的使用有助于在大型电脑-1 WLCG站点的水平上有助于在大型层-1 WLCG站点的水平。

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