# An intelligent Data Delivery Service for and beyond the ATLAS experiment

arXiv: https://arxiv.org/abs/2103.00523 · HTML: https://mlsanity.com/paper/2103.00523/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Feb 2021.

## Built on by (most cited first, 1 of 1)

- [Scalable AI-assisted Workflow Management for Detector Design Optimization Using Distributed Computing](https://mlsanity.com/paper/2603.30014/) (2026)

## Abstract (arXiv)

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.