Speaker
Description
The ATLAS Metadata Interface (AMI) ecosystem has been developed within the context of ATLAS, one of the largest scientific collaborations. AMI is a mature, generic, metadata-oriented ecosystem that has been maintained for over 23 years. This paper briefly describes the main applications of the ecosystem within the experiment, including metadata aggregation for millions of datasets and billions of files, searching for datasets by metadata criteria, and metadata definition for data processing jobs (AMI-tags). The current architecture of the underlying databases will be outlined, in addition to the ongoing developments for preparations for Run 4. Optimizations based on advanced partitioning will also be described, enabling all datasets to be migrated into a new single catalog.
