PPTAMη: Energy Aware CI/CD Pipeline for Container Based Applications
Modern container-based microservices evolve through rapid deployment cycles, but CI/CD pipelines still rarely measure energy consumption, even though prior work shows that design patterns, code smells and refactorings affect energy efficiency. We present PPTAMη, an automated pipeline that integrates power and energy measurement into GitLab CI for containerised API systems, coordinating load generation, container monitoring and hardware power probes to collect comparable metrics at each commit. The pipeline makes energy visible to developers, supports version comparison for test engineers and enables trend analysis for researchers. We evaluate PPTAMη on a JWT-authenticated API across four commits, collecting performance and energy metrics and summarising the architecture, measurement methodology and validation.
Tue 17 MarDisplayed time zone: Athens change
14:00 - 15:30 | |||
14:00 15mTalk | PPTAMη: Energy Aware CI/CD Pipeline for Container Based Applications Workshops & Tutorials Alessandro Aneggi Free University of Bozen-Bolzano, Andrea Janes Free University of Bozen-Bolzano, Xiaozhou Li Free University of Bozen-Bolzano | ||
14:15 25mTalk | GREENN: Granular evaluation of Energy Efficiency in Neural Networks Workshops & Tutorials Elena Ballesteros-Morallón University of Castilla-La Mancha, Felix García University of Castilla-La Mancha, Maria Gutierrez University of Castilla-La Mancha, Mª Angeles Moraga University of Castilla-La Mancha, Coral Calero Universidad de Castilla La Mancha | ||
14:40 25mTalk | Orchestrating AI-Driven Code Refactoring Based on Energy Measurements in CI Pipelines Workshops & Tutorials Carlos Pulido Hernández University of Castilla-La Mancha, Mª Angeles Moraga University of Castilla-La Mancha, Felix García University of Castilla-La Mancha | ||
15:05 25mTalk | Beyond Model Optimization: Practical Energy-Efficient LLM Inference through Context-Aware Input Reduction Workshops & Tutorials Kalle Pronk Fontys University of Applied Sciences, Qin Zhao Fontys University of Applied Science, Siebren Kazemier Q42 | ||