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The Quest to solve the HL-LHC data access puzzle

机译:寻求解决HL-LHC数据访问难题

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HL-LHC will confront the WLCG community with enormous data storage, management and access challenges. These are as much technical as economical. In the WLCG-DOMA Access working group, members of the experiments and site managers have explored different models for data access and storage strategies to reduce cost and complexity, taking into account the boundary conditions given by our community.Several of these scenarios have been evaluated quantitatively, such as the Data Lake model and incremental improvements of the current computing model with respect to resource needs, costs and operational complexity.To better understand these models in depth, analysis of traces of current data accesses and simulations of the impact of new concepts have been carried out. In parallel, evaluations of the required technologies took place. These were done in testbed and production environments at small and large scale.We will give an overview of the activities and results of the working group, describe the models and summarise the results of the technology evaluation focusing on the impact of storage consolidation in the form of Data Lakes, where the use of streaming caches has emerged as a successful approach to reduce the impact of latency and bandwidth limitation.We will describe the experience and evaluation of these approaches in different environments and usage scenarios. In addition we will present the results of the analysis and modelling efforts based on data access traces of the experiments.
机译:HL-LHC将面对WLCG社区,具有巨大的数据存储,管理和访问挑战。这些与经济一样多。在WLCG-Doma访问工作组中,实验和现场管理人员的成员已经探索了不同型号的数据访问和存储策略,以降低成本和复杂性,同时考虑到我们的社区给出的边界条件。这些方案已被评估定量地,例如数据湖模型和当前计算模型的增量改进,了解资源需求,成本和运行复杂性。更好地了解这些模型深入,分析了当前数据访问的痕迹和新概念影响的模拟已经进行了。并行地,进行所需技术的评估。这些是以小而大规模的测试用水和生产环境完成的。我们将概述工作组的活动和结果,描述模型,并总结了专注于储存整合的影响的技术评价结果数据湖泊,其中流媒体缓存的使用是一种成功的方法来降低延迟和带宽限制的影响。我们将描述在不同环境和使用情况下这些方法的经验和评估。此外,我们将根据实验的数据访问痕迹提供分析和建模工作的结果。

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