LHCb and DIRAC strategy towards the LHCb upgrade
LHCb and DIRAC strategy towards the LHCb upgrade
复制标题
LHCb 和 DIRAC LHCb 升级战略
DOI：
10.1051/epjconf/201921403012
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发表时间：
2019
影响因子：
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通讯作者：
V. Romanovskiy
中科院分区：
文献类型：
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作者：
F. Stagni;A. Tsaregorodtsev;C. Haen;P. Charpentier;Z. Máthé;W. Krzemień;V. Romanovskiy
DIRAC项目正在开发用于构建和操作分布式计算系统的中间件。它为大型科学社区的数据管理和数据管理任务提供了一个开发框架和一组丰富的服务。DIRAC被越来越多的合作所采用，包括LHCb，Belle 2，CLIC和CTA。LHCb实验将在LHC第二次长时间关闭（2019-2020）期间进行升级。在运行3中重新开始数据采集时，瞬时光度将增加五倍。LHCb计算模型也需要升级。过于简单化，这意味着需要更多的计算能力和资源，以及更多的存储空间。DIRAC接口将继续作为处理所有LHCb分布式计算资源的工具。在这方面的贡献，我们强调正在进行的和计划的努力，以确保DIRAC将能够提供其分布式计算资源的最佳使用。本文重点介绍DIRAC计划，以提高整个系统的可伸缩性，考虑到主要需求是保持运行系统的工作。这一要求转化为需要在当前DIRAC架构内进行研究和开发。我们认为可扩展性与流量增长、数据集增长和可维护性有关：在本文中，我们将解决所有这些问题，并展示我们正在采用的技术解决方案。
The DIRAC project is developing interware to build and operate distributed computing systems. It provides a development framework and a rich set of services for both Workload and Data Management tasks of large scientific communities. DIRAC is adopted by a growing number of collaborations, including LHCb, Belle2, CLIC, and CTA. The LHCb experiment will be upgraded during the second long LHC shutdown (2019-2020). At restart of data taking in Run 3, the instantaneous luminosity will increase by a factor of five. The LHCb computing model also need be upgraded. Oversimplifying, this translates into the need for significantly more computing power and resources, and more storage with respect to what LHCb uses right now. The DIRAC interware will keep being the tool to handle all of LHCb distributed computing resources. Within this contribution, we highlight the ongoing and planned efforts to ensure that DIRAC will be able to provide an optimal usage of its distributed computing resources. This contribution focuses on DIRAC plans for increasing the scalability of the overall system, taking in consideration that the main requirement is keeping a running system working. This requirement translates into the need of studies and developments within the current DIRAC architecture. We believe that scalability is about traffic growth, dataset growth, and maintainability: within this contribution we address all of them, showing the technical solutions we are adopting.