EPJ Web of Conferences (Jan 2021)

An intelligent Data Delivery Service for and beyond the ATLAS experiment

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

DOI
https://doi.org/10.1051/epjconf/202125102007
Journal volume & issue
Vol. 251
p. 02007

Abstract

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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.