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arXiv 2103.00523cs.DChep-ex
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一种用于ATLAS实验的智能数据传输服务

An intelligent Data Delivery Service for and beyond the ATLAS experiment

Wen Guan, Tadashi Maeno, Brian Paul Bockelman, Torre Wenaus, Fahui Lin, Siarhei Padolski, Rui Zhang, Aleksandr Alekseev

摘要:

智能数据传输服务(iDDS)是为了应对即将到来的LHC数据采集中计算和存储资源使用的巨大增长而开发的。iDDS旨在智能地协调工作流和数据管理系统,将各种工作流中的数据预处理、交付和主处理分离。它是一个围绕面向工作流的结构的实验不可知服务,用于处理ATLAS和其他实验中的现有和新兴用例。在这里,我们将介绍iDDS的动机,它的设计模式和架构,用例和当前状态,以及未来的计划。

英文摘要:

The intelligent Data Delivery Service (iDDS) has been developed to cope with the huge increase of computing and storage resource usage in the coming LHC data taking. iDDS has been designed to intelligently orchestrate workflow and data management systems, decoupling data pre-processing, delivery, and main processing in various workflows. It is an experiment-agnostic service around a workflow-oriented structure to work with existing and emerging use cases in ATLAS and other experiments. Here we will present the motivation for iDDS, its design schema and architecture, use cases and current status, and plans for the future.

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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