Validated Simulation for Cloud Scheduler Engineering

Researchers have contributed promising new techniques for allocating cloud resources in more robust, efficient, and ecologically sustainable ways. Unfortunately, the wide-spread use of these techniques in production systems has, to date, remained elusive as their evaluation frequently relies on exploratory, modeldriven simulation only. We present a new methodology that complements existing model-driven simulation with platform-specific and statistically validated quantitative results. We simulate systems at scales and on time frames that are testable, and then, based on the statistical validation of these simulations enable investigation of scenarios beyond those feasibly observable in practice.