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arXiv 2103.01871cs.DC
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Coffea-casa:分析设施原型

Coffea-casa: an analysis facility prototype

Matous Adamec, Garhan Attebury, Kenneth Bloom, Brian Bockelman, Carl Lundstedt, Oksana Shadura, John Thiltges

摘要:

HEP中的数据分析通常依赖于批处理系统和事件循环;用户被给予一个非交互式的计算资源界面,并逐个事件地考虑数据。“Coffea-casa”原型分析设施是一项努力,旨在为用户提供访问计算资源的替代机制,并启用新的编程范例。代替命令行界面和异步批处理访问,提供了基于笔记本的Web界面和交互式计算。使用基于列的Coffea库,而不是编写事件循环。在本文中,我们描述了该设施的架构组件,为最终用户提供的服务,以及它如何集成到一个更大的数据访问和身份验证生态系统中。

英文摘要:

Data analysis in HEP has often relied on batch systems and event loops; users are given a non-interactive interface to computing resources and consider data event-by-event. The "Coffea-casa" prototype analysis facility is an effort to provide users with alternate mechanisms to access computing resources and enable new programming paradigms. Instead of the command-line interface and asynchronous batch access, a notebook-based web interface and interactive computing is provided. Instead of writing event loops, the column-based Coffea library is used. In this paper, we describe the architectural components of the facility, the services offered to end-users, and how it integrates into a larger ecosystem for data access and authentication.

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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