The Scaling Behaviors in Achieving High Reliability via Chance‑Constrained Optimization
This study analyzes resource provisioning with strict reliability demands. It characterizes optimal cost scaling in chance‑constrained problems as reliability increases. It reveals limitations of common distributionally robust optimization methods, proposes improvements using marginal distributions or f‑divergences, and offers a line search for near‑optimal solutions, overcoming data sample limitations.