The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Poster Type: Research Posters
Author: Nicholas Synovic (Loyola University Chicago), FNU Shilpika (Argonne National Laboratory (ANL)), Silvio Rizzi (Argonne National Laboratory (ANL)), Doug Waldron (Argonne National Laboratory (ANL)), George K. Thiruvathukal (Loyola University Chicago), Michael E. Papka (Argonne National Laboratory (ANL))
Supervisor:
Abstract: As high performance computing (HPC) systems scale toward the exascale era, operational data analytics (ODA) play an increasingly central role in managing system security, health, scheduling, and scientific productivity. Supercomputing facilities continuously generate massive volumes of logs and system metrics. To make actionable insights, distributed database management systems (DBMSs) are often employed, but their behavior under realistic production HPC workloads remains underexplored. This poster presents ScODA (Supercomputing Operational Data Analytics), an emerging benchmarking pipeline designed to evaluate distributed DBMS solutions—including relational, document, time-series databases and lakehouse solutions—using real and synthetic HPC environment logs. By working alongside our business intelligence colleagues to systematically model and implement common ODA workflows, ScODA enables data-driven comparisons of competing DBMS platforms and identifies trade-offs in ingestion, querying, and concurrent access. We present our methodology, preliminary benchmarks, and lessons learned from applying ScODA to multiple DBMS platforms at Argonne National Laboratory.
Best Poster Finalist (BP): no
Poster: PDF
Poster Summary: PDF