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T: Fachverband Teilchenphysik

T 14: Data, AI, Computing, Electronics II

T 14.4: Talk

Monday, March 16, 2026, 17:00–17:15, KH 02.014

AUDITOR: Tackling HL-LHC accounting challenges and estimating environmental impact of jobs — •Raghuvar Vijayakumar, Michael Böhler, Dirk Sammel, and Markus Schumacher — Universität Freiburg

Distributed computing infrastructures are shared by multiple research communities, particularly within High Energy Physics (HEP), where precise and transparent resource accounting is critical. To meet these demands, we developed AUDITOR (AccoUnting DatahandlIng Toolbox for Opportunistic Resources), a flexible, modular, and extensible accounting ecosystem designed for heterogeneous computing clusters.

AUDITOR captures, processes, and analyzes usage metrics through specialized collectors from HTCondor, Kubernetes, and Slurm batch systems, storing all data in a PostgreSQL database. Its plugin-based architecture allows integration with external tools with Rust and Python clients. Existing plugins include the APEL plugin, which publishes accounting data to the European Grid Initiative (EGI).

Recent developments include a Role-Based Access Control system and an archival subsystem that now periodically exports historical data to Parquet files. The new utilization report plugin provides summaries of job counts, HEPScore performance, power consumption, and estimated CO2 footprint. Looking ahead, our accounting system is being designed to integrate environmental attributes directly into job-level analytics to measure the carbon impact of computing workloads. In this talk, we will present our new features and highlight how to meet the present and future challenges of HL-LHC accounting.

Keywords: AUDITOR; Computing Resources; High Energy Physics (HEP); Sustainability