arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2201.11526astro-ph.IMcs.DC
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用于LOFAR意大利社区的分布式计算基础设施

A distributed computing infrastructure for LOFAR Italian community

Giuliano Taffoni, Ugo Becciani, Annalisa Bonafede, Etienne Bonnassieux, Gianfranco Brunetti, Marisa Brienza, Claudio Gheller, Stefano A. Russo, Fabio Vitello

摘要:

低频阵列是一种低频射电干涉仪,由分布在欧洲各地的观测站组成,就有效面积和生成数据速率而言,它是SKA的最大先驱。2018年,意大利社区正式加入LOFAR项目,并部署了专门用于LOFAR数据分析的分布式计算和存储基础设施。该基础设施基于分布在意大利不同地点的4个节点,它为管道执行,最终和中间结果的存储以及软件和基础设施的使用提供支持。由于低频阵列数据的分析需要一个非常复杂的计算过程,一个基于容器的方法已被采用来分配软件环境到不同的计算资源。一个科学平台的方法是用来促进交互式访问计算资源。在本文中,我们描述了基础设施的体系结构和主要功能。

英文摘要:

The LOw-Frequency ARray is a low-frequency radio interferometer composed by observational stations spread across Europe and it is the largest precursor of SKA in terms of effective area and generated data rates. In 2018, the Italian community officially joined LOFAR project, and it deployed a distributed computing and storage infrastructure dedicated to LOFAR data analysis. The infrastructure is based on 4 nodes distributed in different Italian locations and it offers services for pipelines execution, storage of final and intermediate results and support for the use of the software and infrastructure. As the analysis of the LOw-Frequency ARray data requires a very complex computational procedure, a container-based approach has been adopted to distribute software environments to the different computing resources. A science platform approach is used to facilitate interactive access to computational resources. In this paper, we describe the architecture and main features of the infrastructure.

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。

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