EPJ Web Conf.
Volume 251, 202125th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|Number of page(s)||6|
|Section||Distributed Computing, Data Management and Facilities|
|Published online||23 August 2021|
An intelligent Data Delivery Service for and beyond the ATLAS experiment
1 University of Wisconsin-Madison, Madison, USA
2 Brookhaven National Laboratory, Upton, USA
3 Morgridge Institute for Research, Madison, USA
4 University of Texas at Arlington, USA
5 Moscow State U.; Andres Bello Natl. U. ; Moscow, INR
* e-mail: firstname.lastname@example.org
Published online: 23 August 2021
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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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