Randomized trial evaluates data removal efficiency in ALICE experiment, suggesting improved data management.
The ALICE (A Large Ion Collider Experiment) experiment at CERN’s Large Hadron Collider is dedicated to studying heavy-ion collisions to investigate the properties of quark–gluon plasma. Since its launch in 2009, ALICE has undergone three operational phases, accumulating substantial data: 7.4 petabytes (PB) in Run 1, 28 PB in Run 2, and 423 PB in Run 3 (as of February 2025). The transition from Run 2 to Run 3 included significant upgrades to ALICE’s detectors and Data Acquisition System, resulting in a 12-fold increase in the collected data volume. This article presents a data removal tool developed for the ALICE experiment to efficiently manage storage resources. The tool consists of a web interface that allows ALICE operators to delete data and an automated workflow that, under certain conditions, removes temporary data and provides the data preparation group with a centralized interface for data management. Deployed in April 2024, the tool replaces the previous manual, email-based request system, eliminating inefficiencies and ensuring a faster, more structured, and scalable approach to data management.
No takes yet. Share an insight, caveat, or question.
Şuiu et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: