Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments

Focusing on the software execution environment, this book introduces a novel method for automatically identifying performance-relevant properties. By utilizing predefined experiments, the method integrates findings into performance prediction tools. It specifically addresses the detection of various CPU, OS, and virtualization characteristics, demonstrating its effectiveness through multiple case studies. This innovative approach enhances the understanding of how execution environments impact software performance.