research-article

BatteryExtender: an adaptive user-guided tool for power management of mobile devices

Authors:

Monica Brockmeyer,

Abhishek AgrawalAuthors Info & Claims

UbiComp '14: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Pages 33 - 43

https://doi.org/10.1145/2632048.2632082

Published: 13 September 2014 Publication History

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%.

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Cited By

Lee SJeong DChoi JKwak JSon SSong JShin I(2024)SERENUS: Alleviating Low-Battery Anxiety Through Real-time, Accurate, and User-Friendly Energy Consumption Prediction of Mobile ApplicationsProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676437(1-20)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676437
Hort MKechagia MSarro FHarman M(2022)A Survey of Performance Optimization for Mobile ApplicationsIEEE Transactions on Software Engineering10.1109/TSE.2021.307119348:8(2879-2904)Online publication date: 1-Aug-2022
https://doi.org/10.1109/TSE.2021.3071193
Takagi MIkeuchi TKawahara Y(2018)WakeDroid: A Remote Boot Trigger for Android Devices as IoT Nodes2018 IEEE International Conference on Communications Workshops (ICC Workshops)10.1109/ICCW.2018.8403560(1-6)Online publication date: May-2018
https://doi.org/10.1109/ICCW.2018.8403560
Show More Cited By

Index Terms

BatteryExtender: an adaptive user-guided tool for power management of mobile devices
1. Human-centered computing

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Published In

cover image ACM Conferences

UbiComp '14: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 2014

973 pages

ISBN:9781450329682

DOI:10.1145/2632048

General Chairs:
AJ Brush
Microsoft Research
,
Adrian Friday
Lancaster University, UK
,
Program Chairs:
Julie Kientz
University of Washington
,
James Scott
Microsoft Research, UK
,
Junehwa Song
Korea Advanced Institute of Science and Technology (KAIST), KR

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 13 September 2014

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Division of Computer and Network Systems

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UbiComp '14

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UbiComp '14: The 2014 ACM Conference on Ubiquitous Computing

September 13 - 17, 2014

Washington, Seattle

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

Lee SJeong DChoi JKwak JSon SSong JShin I(2024)SERENUS: Alleviating Low-Battery Anxiety Through Real-time, Accurate, and User-Friendly Energy Consumption Prediction of Mobile ApplicationsProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676437(1-20)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676437
Hort MKechagia MSarro FHarman M(2022)A Survey of Performance Optimization for Mobile ApplicationsIEEE Transactions on Software Engineering10.1109/TSE.2021.307119348:8(2879-2904)Online publication date: 1-Aug-2022
https://doi.org/10.1109/TSE.2021.3071193
Takagi MIkeuchi TKawahara Y(2018)WakeDroid: A Remote Boot Trigger for Android Devices as IoT Nodes2018 IEEE International Conference on Communications Workshops (ICC Workshops)10.1109/ICCW.2018.8403560(1-6)Online publication date: May-2018
https://doi.org/10.1109/ICCW.2018.8403560
Wu DArkhipov DPrzepiorka TLi YGuo BLiu Q(2017)From Intermittent to UbiquitousProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31309791:3(1-32)Online publication date: 11-Sep-2017
https://dl.acm.org/doi/10.1145/3130979
Gao XLiu DLiu DWang HStavrou A(2017)E-Android: A New Energy Profiling Tool for Smartphones2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS.2017.218(492-502)Online publication date: Jun-2017
https://doi.org/10.1109/ICDCS.2017.218
Worgan PKnibbe JFraser MMartinez Plasencia DKaye JDruin ALampe CMorris DHourcade J(2016)PowerShakeProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858569(4734-4745)Online publication date: 7-May-2016
https://dl.acm.org/doi/10.1145/2858036.2858569
Chen XZong Z(2016)Android App Energy Efficiency: The Impact of Language, Runtime, Compiler, and Implementation2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom)10.1109/BDCloud-SocialCom-SustainCom.2016.77(485-492)Online publication date: Oct-2016
https://doi.org/10.1109/BDCloud-SocialCom-SustainCom.2016.77
Zhu ZBlanke UTröster G(2016)Recognizing composite daily activities from crowd-labelled social media dataPervasive and Mobile Computing10.1016/j.pmcj.2015.10.00726:C(103-120)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1016/j.pmcj.2015.10.007
Douga YBourenane MMellouk AHadjadj-Aoul Y(2016)TCP based-user control for adaptive video streamingMultimedia Tools and Applications10.1007/s11042-015-2857-175:18(11347-11366)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1007/s11042-015-2857-1
Min CYoo CHwang IKang SLee YLee SPark PLee CChoi SSong JMase KLangheinrich MGatica-Perez DGellersen HChoudhury TYatani K(2015)Sandra helps you learnProceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2750858.2807553(421-432)Online publication date: 7-Sep-2015
https://dl.acm.org/doi/10.1145/2750858.2807553

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