Leveraging Model-Driven Engineering for Energy Optimization - Archive ouverte HAL
Communication Dans Un Congrès Année : 2019

Leveraging Model-Driven Engineering for Energy Optimization

Résumé

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.
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Dates et versions

hal-02413988 , version 1 (16-12-2019)

Identifiants

  • HAL Id : hal-02413988 , version 1

Citer

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