This work introduces a new subarea of performance tuning -- performance tuning in a shared interference-prone computing environment. We demonstrate that existing tuners are significantly suboptimal by design because of their inability to account for interference during tuning. Our solution, DarwinGame, employs a tournament-based design to systematically compare application executions with different tunable parameter configurations, enabling it to identify the relative performance of different tunable parameter configurations in a noisy environment. Compared to existing solutions, DarwinGame achieves more than 27% reduction in execution time, with less than 0.5% performance variability. DarwinGame is the first performance tuner that will help developers tune their applications in shared, interference-prone, cloud environments.
@article{arxiv.2509.25090,
title = {DarwinGame: Playing Tournaments for Tuning Applications in Noisy Cloud Environments},
author = {Rohan Basu Roy and Vijay Gadepally and Devesh Tiwari},
journal= {arXiv preprint arXiv:2509.25090},
year = {2025}
}