Poster: Autotuning PostgreSQL: A Blueprint for Successful Autotuning of Real-World Applications

Autotuning is a technique for optimizing the performance of sequential and parallel applications. We explore the problem of successfully applying on-line autotuning to real-world applications. We tune PostgreSQL, an open-source database server software, by optimizing tuning parameters that affect table scans. We evaluate the effects on the performance using the TPC-H benchmark and achieve speedups up to 3.9. A video subsuming the process is available at https://dx.doi.org/10.5445/DIVA/2018-192.