Predicting mobile application power consumption

We present an analysis of battery consumption to predict the average consumption rate of any given application. We explain the process and techniques used to gather the data, and present over 25000 readings collected over 3 months. We then use iterative proportional fitting to predict the consumptions rates, discuss the issues with the collected data, and highlight the attempts made to alleviate the problems. Lastly, we discuss the limitations and challenges of this approach, and suggest changes that may be required in order to produce more accurate results.

Name thesis:degree_name

Master of Science (MSc)

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Ontario Institute of Technology

Year dc:date.issued

2018

Author dc:creator

• Chang, Michael

Advisor dc:contributor.advisor

• Green, Mark

• Prediction
• Mobile
• Power
• Smartphone

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/10155/934

OAI identifier oai:identifier

oai:ontariotechu.scholaris.ca:10155/934