The WLCG Data Challenge

During Run-3 the Large Hadron Collider (LHC) experiments are transferring up to 10PB of data daily across the Worldwide LHC Computing Grid (WLCG) sites. However, following the transition from Run-3 to Run- 4, data volumes are expected to increase tenfold. The WLCG Data Challenge aims to address this significant scaling challenge through a series of rigorous test events. The primary objective of the 2024 Data Challenge (DC24) was to achieve 25% of the anticipated bulk transfer rate required for Run-4. Six experiments participated: the LHC experiments—ATLAS, CMS, LHCb, and ALICE—as well as Belle II and DUNE. These experiments utilize many of the same networks, sites and data management tools. Additionally, DC24 aimed to test new technologies such as token-based authorization and advanced network monitoring tools. The direct benefits of DC24 included identifying bottlenecks within the centralized data management systems of each experiment, gaining experience with significantly higher data transfer rates, and fostering significant collaboration among experiments and stakeholders. These stakeholders encompassed site administrators, storage technology providers, network experts, and middleware tool developers, all contributing to the preparedness for the demands of Run-4.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701327
Primary Topic
Network Traffic and Congestion Control
Type
article
Field-Weighted Citation Impact
0.00
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article

The WLCG Data Challenge

K. V. Ellis
EPJ Web of Conferences
Network Traffic and Congestion Control
article

The WLCG Data Challenge

K. V. Ellis
article en

Abstract

During Run-3 the Large Hadron Collider (LHC) experiments are transferring up to 10PB of data daily across the Worldwide LHC Computing Grid (WLCG) sites. However, following the transition from Run-3 to Run- 4, data volumes are expected to increase tenfold. The WLCG Data Challenge aims to address this significant scaling challenge through a series of rigorous test events. The primary objective of the 2024 Data Challenge (DC24) was to achieve 25% of the anticipated bulk transfer rate required for Run-4. Six experiments participated: the LHC experiments—ATLAS, CMS, LHCb, and ALICE—as well as Belle II and DUNE. These experiments utilize many of the same networks, sites and data management tools. Additionally, DC24 aimed to test new technologies such as token-based authorization and advanced network monitoring tools. The direct benefits of DC24 included identifying bottlenecks within the centralized data management systems of each experiment, gaining experience with significantly higher data transfer rates, and fostering significant collaboration among experiments and stakeholders. These stakeholders encompassed site administrators, storage technology providers, network experts, and middleware tool developers, all contributing to the preparedness for the demands of Run-4.

EPJ Web of ConferencesVol. 337
Rutherford Appleton Laboratory (GB)
Openalex Percentile: Top 67%
Network Traffic and Congestion Control
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The WLCG Data Challenge — K. V. Ellis · EPJ Web of Conferences (2025) | TGRS Research Map | TGRS