Accurate Online Power Estimation and Automatic Battery Behavior Based Power Model Generation for Smartphones
Venue
Proceeding of Internation Conference on Hardware/Software Codesign and System Synthesis (2010), pp. 105-114
Publication Year
2010
Authors
Lide Zhang, Birjodh Tiwana, Zhiyun Qian, Zhaoguang Wang, Robert P. Dick, Z. Morley Mao, Lei Yang
BibTeX
Abstract
This paper describes PowerBooter, an automated power model construction technique
that uses built-in battery voltage sensors and knowledge of battery discharge
behavior to monitor power consumption while explicitly controlling the power
management and activity states of individual components. It requires no external
measurement equipment. We also describe PowerTutor, a component power management
and activity state introspection based tool that uses the model generated by
PowerBooter for online power estimation. PowerBooter is intended to make it quick
and easy for application developers and end users to generate power models for new
smartphone variants, which each have different power consumption properties and
therefore require different power models. PowerTutor is intended to ease the design
and selection of power efficient software for embedded systems. Combined,
PowerBooter and PowerTutor have the goal of opening power modeling and analysis for
more smartphone variants and their users.
