A Source-level Energy Optimization Framework for Mobile Applications

Publikation: Forskning - peer reviewKonferencebidrag i proceedings

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.
OriginalsprogEngelsk
Titel16th IEEE International Working Conference on Source Code Analysis and Manipulation : SCAM 2016
Antal sider10
UdgiverIEEE Press
Publikationsdato2016
Sider31-40
ISBN (elektronisk)978-1-5090-3848-0
DOI
StatusUdgivet - 2016
Begivenhed - Raleigh, North Carolina, USA

Konference

Konference16th IEEE International Working Conference on Source Code Analysis and Manipulation
LandUSA
ByRaleigh, North Carolina
Periode02/10/201603/10/2016

ID: 58983264