Sustainability of Edge AI at Scale: An empirical study on the sustainability of Edge AI in terms of energy consumption

Edge AI is an architectural deployment tactic that brings AI models closer to the user and data, relieving internet bandwidth usage and providing low latency and privacy. It remains unclear how this tactic performs at scale, since the distribution overhead could impact the total energy consumption. We identify four architectural scalability...

Measuring up to Stability: Guidelines towards accurate energy consumption measurement results of Rust benchmarks

In Sustainable Software Engineering there is a need for tooling and guidelines for developers. In this research we aim to provide such guidelines. We find that for our experimental setup and set of benchmarks 500 samples gives results that are likely stable at a 1% threshold in their Relative Confidence Interval Width. Running benchmarks with a...