2016 IEEE 16th International Working Conference on Source Code Analysis and Manipulation (SCAM) (2016)
Raleigh, North Carolina, United States
Oct. 2, 2016 to Oct. 3, 2016
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SCAM.2016.12
Energy efficiency can have a significant influence on user experience of mobile devices such as smartphones and tablets. Although energy is consumed by hardware, software optimization plays an important role in saving energy, and thus software developers have to participate in the optimization process. The source code is the interface between the developer and hardware resources. In this paper, we propose an energy-optimization framework guided by a source code energy model that allows developers to be aware of energy usage induced by the code and to apply very targeted source-level refactoring strategies. The framework also lays a foundation for the code optimization by automatic tools. To the best of our knowledge, our work is the first that achieves this for a high-level language such as Java. In a case study, the experimental evaluation shows that our approach is able to save from 6.4% to 50.2% of the CPU energy consumption in various application scenarios.
Optimization, Software, Hardware, Energy consumption, Smart phones, Data models, Libraries,Mobile Application, Energy Saving and Optimization, Source Code Refactoring and Optimization
Xueliang Li, John P. Gallagher, "A Source-Level Energy Optimization Framework for Mobile Applications", 2016 IEEE 16th International Working Conference on Source Code Analysis and Manipulation (SCAM), vol. 00, no. , pp. 31-40, 2016, doi:10.1109/SCAM.2016.12