Application-level Prediction of Battery Dissipation
Chandra Krintz, Ye Wen, and Rich Wolski
Mobile, battery-powered devices such
as personal digital assistants and web-enabled mobile phones
have successfully emerged as new access points to the world's
digital infrastructure. However, the growing gap between
device capabilities and battery technology requires novel
techniques that extend battery life.
Key to the success of such techniques, is our ability to accurately
predict the power consumption of a program.
In this paper, we investigate
the degree to which battery dissipation
induced by program execution can be measured by applica-tion-level
software tools and predicted by a compiler and runtime system.
We present a novel technique with which we can accurately estimate
whole-program power-consumption for an arbitrary program
by composing battery dissipation rates of benchmarks.
We empirically evaluate our technique using an iPAQ hand-held device
and a number of MiBench and other programs.