Research outputs, talks, and papers.
A practical guide to RAPL-based tools for measuring software energy use and choosing a suitable approach for development and research.
Introduces PPTAMη, a GitLab CI/CD pipeline that measures power and energy for container-based APIs at each commit.
Empirical study on ten microservice performance antipatterns and which ones also behave as energy antipatterns.
Positioning power-aware feedback loops across CI/CD with AI support to guide greener software development.
Demonstrates how mining Git metadata can warn about risky microservice boundaries before they solidify.
Case study on integration pitfalls when combining edge computing with machine learning workloads.