https://doi.org/10.1140/epjc/s10052-025-13963-y
Regular Article - Computing, Software and Data Science
AUDITOR
Accounting data handling toolbox for opportunistic resources
1
Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Hermann-Herder-Str. 3, 79104, Freiburg, Germany
2
Karlsruher Institut für Technologie, Kaiserstraße 12, 76131, Karlsruhe, Germany
3
Fakultät 4, Bergische Universität Wuppertal, Gaußstraße 20, 42119, Wuppertal, Germany
a
michael.boehler@physik.uni-freiburg.de
Received:
11
February
2025
Accepted:
13
February
2025
Published online:
11
March
2025
Increasing computing demands and concerns about energy efficiency in high-performance and high-throughput computing are driving forces in the search for more efficient ways to use available resources. Sharing resources of an underutilised cluster with a high workload cluster increases the efficiency of the underutilised cluster. The software COBalD/TARDIS can dynamically and transparently integrate and disintegrate such resources. However, sharing resources also requires accounting. AUDITOR (Accounting Data Handling Toolbox for Opportunistic Resources) is a modular accounting ecosystem that is able to cover a wide range of use cases and infrastructures. Accounting data are gathered via so-called collectors, which are designed to monitor batch systems, COBalD/TARDIS, cloud schedulers, or other sources of information. The data is stored in a database, and access to the data is handled by the core component of AUDITOR, which provides a REST API along both Rust and a Python client libraries. So-called plugins can take actions based on accounting records. Depending on the use case, one simply selects a suitable collector and plugin from a growing ecosystem of collectors and plugins. To facilitate the development of collectors and plugins for yet uncovered use cases by the community, libraries for interacting with AUDITOR are provided.
© The Author(s) 2025
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Funded by SCOAP3.
