Leveraging Model-Driven Engineering for Energy Optimization

Thibault Béziers La Fosse (1, 2, 3, 4)

1 IMT Atlantique - INFO - Département Informatique
2 ICAM - Institut Catholique d'Arts et Métiers
3 LS2N - Laboratoire des Sciences du Numérique de Nantes
4 LS2N - équipe NaoMod - NaoMod - Nantes Software Modeling Group

Energy consumption is a critical point when developing applications. Either for battery-saving purposes , for lowering the cost of data-centers, or simply for the sake of having an eco-friendly program, reducing the energy needed to run a software becomes mandatory. Model-Driven Engineering has shown great results when it comes to program understanding and refactoring. Modeling the source code along with its energy consumption could be a powerful asset to programmers in order to develop greener code. For that purpose, this paper presents an approach for modeling energy consumption inside a source code model. Energy metrics are gathered at runtime, modeled using the standard Structured Metrics Meta-model, and associated to the source code model, enabling model-driven techniques for energy analysis and optimizations.

Domaines: Génie logiciel [cs.SE]

Thibault Béziers La Fosse. Leveraging Model-Driven Engineering for Energy Optimization. JDOC19, May 2019, Nantes, France. ⟨hal-02413988⟩