Predicting Power Usage of Android Applications
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.
Subject
Power Model
Power
Android
Permanent Link
http://digital.library.wisc.edu/1793/69024Type
Technical Report
Citation
TR1808

