Paper Info
Title
BatteryExtender: an adaptive user-guided tool for power management of mobile devices
Abstract
The battery life of mobile devices is one of their most important resources. Much of the literature focuses on accurately profiling the power consumption of device components or enabling application developers to develop energy-efficient applications through fine-grained power profiling. However, there is a lack of tools to enable users to extend battery life on demand. What can users do if they need their device to last for a specific duration in order to perform a specific task? To this extent, we developed BatteryExtender, a user-guided power management tool that enables the reconfiguration of the device's resources based on the workload requirement, similar to the principle of creating virtual machines in the cloud. It predicts the battery life savings based on the new configuration, in addition to predicting the impact of running applications on the battery life. Through our experimental analysis, BatteryExtender decreased the energy consumption between 10.03% and 20.21%, and in rare cases by up to 72.83%. The accuracy rate ranged between 92.37% and 99.72%.
Year
DOI
Venue
2014
10.1145/2632048.2632082
UbiComp
Keywords
Field
DocType
miscellaneous,power profiling,battery life management,energy-efficiency,mobile computing,energy efficiency
Mobile computing,Power management,Virtual machine,Computer science,Mobile device,Battery (electricity),Energy consumption,Control reconfiguration,Cloud computing,Embedded system
Conference
Citations 
PageRank 
References 
3
0.36
14
Authors
4
Name
Order
Citations
PageRank
Grace Metri1191.62
Weisong Shi22323163.09
Monica Brockmeyer39111.95
Abhishek Agrawal417714.75