Predicting Power Usage of Android Applications
| dc.contributor.author | Bramble, Benjamin | |
| dc.contributor.author | Swift, Michael | |
| dc.date.accessioned | 2014-05-23T14:44:58Z | |
| dc.date.available | 2014-05-23T14:44:58Z | |
| dc.date.issued | 2014-05-16 | |
| dc.description.abstract | Android based devices have become increasing important in many peoples' lives. The increasing number of device components like cameras, WIFI, and multicore processors as well as increasingly complex applications drain the battery leading to frustrated users who depend on non-stop access to their device. We propose a solution named SApp that will educate the user on the impact of their applications by providing an opportunity to reduce the battery consumption through smarter user decisions and prioritization. This is a three step process: test the impact of the specific device components, then measure the performance of applications, and combine heuristics with the measurements to predict future application impacts. The end result is an educated user capable of extending the life of their device through informed decisions. | en |
| dc.identifier.citation | TR1808 | en |
| dc.identifier.uri | http://digital.library.wisc.edu/1793/69024 | |
| dc.subject | Power Model | en |
| dc.subject | Power | en |
| dc.subject | Android | en |
| dc.title | Predicting Power Usage of Android Applications | en |
| dc.type | Technical Report | en |