CERN Accelerating science

ATLAS Note
Report number	arXiv:2103.00523 ; ATL-SOFT-PROC-2021-002 ; ATL-SOFT-PROC-2021-018
Title	An intelligent Data Delivery Service for and beyond the ATLAS experiment
Author(s)	Guan, Wen (University of Wisconsin Madison (US)) ; Maeno, Tadashi (Brookhaven National Laboratory (US)) ; Bockelman, Brian Paul (University of Wisconsin Madison (US)) ; Wenaus, Torre (Brookhaven National Laboratory (US)) ; Lin, Fa-Hui (University of Texas at Arlington (US)) ; Padolski, Siarhei (Brookhaven National Laboratory (US)) ; Zhang, Rui (University of Wisconsin Madison (US)) ; Alekseev, Aleksandr (Universidad Andres Bello (CL))
Collaboration	ATLAS Collaboration
Publication	2021
Imprint	22 Feb 2021
Number of pages	6
Note	6 pages, 5 figures
In:	EPJ Web Conf. 251 (2021) 02007
In:	25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.02007
DOI	10.1051/epjconf/202125102007
Subject category	Particle Physics - Experiment ; Computing and Computers
Accelerator/Facility, Experiment	CERN LHC ; ATLAS
Abstract	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.
Related document	Slides ATL-SOFT-SLIDE-2021-120
Copyright/License	publication: (License: CC-BY-4.0) preprint: (License: CC BY-NC-SA 4.0)

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