Abstract | ||
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The popularity of mobile apps continues to grow as developers take advantage of the sensors and data available on mobile devices. However, the increased functionality comes with a higher energy cost, which can cause a problem for users on battery constrained mobile devices. To improve the energy consumption of mobile apps, developers need detailed information about the energy consumption of their applications. Existing techniques have drawbacks that limit their usefulness or provide information at too high of a level of granularity, such as components or methods. Our approach is able to calculate source line level energy consumption information. It does this by combining hardware-based power measurements with program analysis and statistical modeling. Our empirical evaluation of the approach shows that it is fast and accurate. |
Year | DOI | Venue |
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2013 | 10.1145/2483760.2483780 | ISSTA |
Keywords | Field | DocType |
hardware-based power measurement,mobile apps,detailed information,source line level energy,energy consumption,increased functionality,mobile device,android application,consumption information,higher energy cost,empirical evaluation | Android (operating system),Source lines,Computer science,Real-time computing,Mobile device,Statistical model,Program analysis,Granularity,Battery (electricity),Energy consumption,Embedded system | Conference |
Citations | PageRank | References |
110 | 3.13 | 28 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ding Li | 1 | 611 | 24.64 |
Shuai Hao | 2 | 679 | 23.27 |
William G. J. Halfond | 3 | 1495 | 63.98 |
ramesh govindan | 4 | 15430 | 2144.86 |