DocumentCode
2400733
Title
Estimating Android applications´ CPU energy usage via bytecode profiling
Author
Hao, Shuai ; Li, Ding ; Halfond, William G J ; Govindan, Ramesh
Author_Institution
Comput. Sci. Dept., Univ. of Southern California, Los Angeles, CA, USA
fYear
2012
fDate
3-3 June 2012
Firstpage
1
Lastpage
7
Abstract
Optimizing the energy efficiency of mobile applications can greatly increase user satisfaction. However, developers lack easily applied tools for estimating the energy consumption of their applications. This paper proposes a new approach, eCalc, that is lightweight in terms of its developer requirements and provides code-level estimates of energy consumption. The approach achieves this using estimation techniques based on program analysis of the mobile application. In evaluation, eCalc is able to estimate energy consumption within 9.5% of the ground truth for a set of mobile applications. Additionally, eCalc provides useful and meaningful feedback to the developer that helps to characterize energy consumption of the application.
Keywords
estimation theory; mobile computing; power aware computing; android applications CPU energy usage estimation; bytecode profiling; code level estimation; energy consumption; energy efficiency; mobile applications; user satisfaction; Accuracy; Benchmark testing; Energy consumption; Energy measurement; Hardware; Monitoring; Software; Android apps; bytecode profiling; eCalc; energy estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Green and Sustainable Software (GREENS), 2012 First International Workshop on
Conference_Location
Zurich
Print_ISBN
978-1-4673-1833-4
Type
conf
DOI
10.1109/GREENS.2012.6224263
Filename
6224263
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