research-article

Bootstrapping energy debugging on smartphones: a first look at energy bugs in mobile devices

Authors:

Abhinav Pathak,

Ming ZhangAuthors Info & Claims

HotNets-X: Proceedings of the 10th ACM Workshop on Hot Topics in Networks

Article No.: 5, Pages 1 - 6

https://doi.org/10.1145/2070562.2070567

Published: 14 November 2011 Publication History

Abstract

This paper argues that a new class of bugs faced by millions of smartphones, energy bugs or ebugs, have become increasingly prominent that already they have led to significant user frustrations. We take a first look at this emerging important technical challenge faced by the smartphones, ebugs, broadly defined as an error in the system (application, OS, hardware, firmware, external conditions or combination) that causes an unexpected amount of high energy consumption by the system as a whole. We first present a taxonomy of the kinds of ebugs based on mining over 39K posts (1.2M before filtering) from 4 online mobile user forum and mobile OS bug repositories. The taxonomy shows the highly diverse nature of smartphone ebugs. We then propose a roadmap towards developing a systematic diagnosing framework for debugging ebugs on smartphones.

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Cited By

Wang CWu H(2024)Energy Optimization for Federated Learning on Consumer Mobile Devices With Asynchronous SGD and Application Co-ExecutionIEEE Transactions on Mobile Computing10.1109/TMC.2024.337923623:11(10235-10250)Online publication date: Nov-2024
https://doi.org/10.1109/TMC.2024.3379236
Li XChen JLiu YWu KGallagher J(2023)Combatting Energy Issues for Mobile ApplicationsACM Transactions on Software Engineering and Methodology10.1145/352785132:1(1-44)Online publication date: 13-Feb-2023
https://dl.acm.org/doi/10.1145/3527851
Marantos CPapadopoulos LLamprakos CSalapas KSoudris D(2023)Bringing Energy Efficiency Closer to Application Developers: An Extensible Software Analysis FrameworkIEEE Transactions on Sustainable Computing10.1109/TSUSC.2022.32224098:2(180-193)Online publication date: 1-Apr-2023
https://doi.org/10.1109/TSUSC.2022.3222409
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Index Terms

Bootstrapping energy debugging on smartphones: a first look at energy bugs in mobile devices
1. General and reference
  1. Cross-computing tools and techniques
    1. Performance
2. Software and its engineering
  1. Software creation and management
    1. Software verification and validation

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Published In

cover image ACM Conferences

HotNets-X: Proceedings of the 10th ACM Workshop on Hot Topics in Networks

November 2011

148 pages

ISBN:9781450310598

DOI:10.1145/2070562

General Chairs:
Hari Balakrishnan
MIT
,
Dina Katabi
MIT
,
Program Chairs:
Aditya Akella
University of Wisconsin-Madison
,
Ion Stoica
UC Berkeley

Copyright © 2011 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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Publication History

Published: 14 November 2011

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HOTNETS-X

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SIGCOMM

HOTNETS-X: Tenth ACM Workshop on Hot Topics in Networks

November 14 - 15, 2011

Massachusetts, Cambridge

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Overall Acceptance Rate 110 of 460 submissions, 24%

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Cited By

Wang CWu H(2024)Energy Optimization for Federated Learning on Consumer Mobile Devices With Asynchronous SGD and Application Co-ExecutionIEEE Transactions on Mobile Computing10.1109/TMC.2024.337923623:11(10235-10250)Online publication date: Nov-2024
https://doi.org/10.1109/TMC.2024.3379236
Li XChen JLiu YWu KGallagher J(2023)Combatting Energy Issues for Mobile ApplicationsACM Transactions on Software Engineering and Methodology10.1145/352785132:1(1-44)Online publication date: 13-Feb-2023
https://dl.acm.org/doi/10.1145/3527851
Marantos CPapadopoulos LLamprakos CSalapas KSoudris D(2023)Bringing Energy Efficiency Closer to Application Developers: An Extensible Software Analysis FrameworkIEEE Transactions on Sustainable Computing10.1109/TSUSC.2022.32224098:2(180-193)Online publication date: 1-Apr-2023
https://doi.org/10.1109/TSUSC.2022.3222409
Ahmed HBoshchenko AKhan NKnyajev DGarifollina DScoccia GMartinez MMalavolta I(2023)Evolution of Kotlin Apps in terms of Energy Consumption: An Exploratory Study2023 International Conference on ICT for Sustainability (ICT4S)10.1109/ICT4S58814.2023.00014(46-56)Online publication date: 5-Jun-2023
https://doi.org/10.1109/ICT4S58814.2023.00014
Wang XWang X(2023)GraphPowerNet: Graph-based power consumption profiling for mobile phone applicationsComputer Networks10.1016/j.comnet.2023.110056237(110056)Online publication date: Dec-2023
https://doi.org/10.1016/j.comnet.2023.110056
Schaarschmidt MUelschen MPulvermüller E(2022)Hunting Energy Bugs in Embedded Systems: A Software-Model-In-The-Loop ApproachElectronics10.3390/electronics1113193711:13(1937)Online publication date: 21-Jun-2022
https://doi.org/10.3390/electronics11131937
Jindal AHu Y(2022)EXPERIENCEGetMobile: Mobile Computing and Communications10.1145/3568113.356811526:3(5-8)Online publication date: 11-Oct-2022
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Shanbhag SChimalakonda SSharma VKaulgud V(2022)Towards a Catalog of Energy Patterns in Deep Learning DevelopmentProceedings of the 26th International Conference on Evaluation and Assessment in Software Engineering10.1145/3530019.3530035(150-159)Online publication date: 13-Jun-2022
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Babakol TCanino ALiu YDwyer MDamian DZeller A(2022)EflectProceedings of the 44th International Conference on Software Engineering10.1145/3510003.3510145(823-834)Online publication date: 21-May-2022
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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
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