research-article

EnTrack: a system facility for analyzing energy consumption of Android system services

Authors:

Hojung ChaAuthors Info & Claims

UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Pages 191 - 202

https://doi.org/10.1145/2750858.2807531

Published: 07 September 2015 Publication History

Abstract

Energy accounting is an essential requirement for optimizing energy consumption on mobile devices. State-of-the-art approaches consider application processes and threads as the sole components of energy consumption. In this framework, the energy consumption of system services is unclear and has not been comprehensively studied. In this paper, we suggest that the energy consumption of system services should be investigated to understand the behavior of applications. We propose a fine-grained energy tracing scheme, EnTrack, to enhance the accuracy of energy tracing by identifying and incorporating the energy portions consumed by system services. We implemented EnTrack on the Android platform and validated its functionality and usefulness. In addition, practical usage cases of EnTrack, which uses it as an energy behavior analysis tool, were introduced. The case studies demonstrated that EnTrack enables an understanding of fine-grained energy consumption, especially in system services, which have previously been concealed.

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Cited By

Cruz LAbreu R(2021)On the Energy Footprint of Mobile Testing FrameworksIEEE Transactions on Software Engineering10.1109/TSE.2019.294616347:10(2260-2271)Online publication date: 1-Oct-2021
https://doi.org/10.1109/TSE.2019.2946163
Khan MAbbas SLee SAbbas A(2021)Measuring power consumption in mobile devices for energy sustainable app development: A comparative study and challengesSustainable Computing: Informatics and Systems10.1016/j.suscom.2021.10058931(100589)Online publication date: Sep-2021
https://doi.org/10.1016/j.suscom.2021.100589
Song WZhang JHuang JDumas MPfahl DApel SRusso A(2019)ServDroid: detecting service usage inefficiencies in Android applicationsProceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3338906.3338950(362-373)Online publication date: 12-Aug-2019
https://dl.acm.org/doi/10.1145/3338906.3338950
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Index Terms

EnTrack: a system facility for analyzing energy consumption of Android system services

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cover image ACM Conferences

UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 2015

1302 pages

ISBN:9781450335744

DOI:10.1145/2750858

General Chairs:
Kenji Mase
Nagoya University, JP
,
Marc Langheinrich
Università della Svizzera italiana (USI), CH
,
Daniel Gatica-Perez
IDIAP-EPFL, CH
,
Program Chairs:
Hans Gellersen
Lancaster University, UK
,
Tanzeem Choudhury
Cornell University
,
Koji Yatani
Univerisity of Tokyo, JP

Copyright © 2015 ACM.

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Google Inc.
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SIGCHI: ACM Special Interest Group on Computer-Human Interaction
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ISTC-PC: Intel Science and Technology Center for Pervasive Computing

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Association for Computing Machinery

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Published: 07 September 2015

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National Research Foundation of Korea (NRF), funded by the Korean government, Ministry of Education, Science and Technology

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UbiComp '15

Sponsor:

Yahoo! Japan
SIGMOBILE
FX Palo Alto Laboratory, Inc.
ACM
Rakuten Institute of Technology
Microsoft
Bell Labs
SIGCHI
Panasonic
Telefónica
ISTC-PC

UbiComp '15: The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 7 - 11, 2015

Osaka, Japan

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UbiComp '15 Paper Acceptance Rate 101 of 394 submissions, 26%;

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

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Cited By

Cruz LAbreu R(2021)On the Energy Footprint of Mobile Testing FrameworksIEEE Transactions on Software Engineering10.1109/TSE.2019.294616347:10(2260-2271)Online publication date: 1-Oct-2021
https://doi.org/10.1109/TSE.2019.2946163
Khan MAbbas SLee SAbbas A(2021)Measuring power consumption in mobile devices for energy sustainable app development: A comparative study and challengesSustainable Computing: Informatics and Systems10.1016/j.suscom.2021.10058931(100589)Online publication date: Sep-2021
https://doi.org/10.1016/j.suscom.2021.100589
Song WZhang JHuang JDumas MPfahl DApel SRusso A(2019)ServDroid: detecting service usage inefficiencies in Android applicationsProceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3338906.3338950(362-373)Online publication date: 12-Aug-2019
https://dl.acm.org/doi/10.1145/3338906.3338950
Yoon CLee SChoi YHa RCha H(2017)Accurate power modeling of modern mobile application processorsJournal of Systems Architecture: the EUROMICRO Journal10.5555/3163584.316368181:C(17-31)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.5555/3163584.3163681
Zhang LLiang CLiu YChen ERosu GDi Penta MNguyen T(2017)Systematically testing background services of mobile appsProceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering10.5555/3155562.3155568(4-15)Online publication date: 30-Oct-2017
https://dl.acm.org/doi/10.5555/3155562.3155568
Baek DLee J(2017)Exclusive Contexts Resolver: A Low-Power Sensing Management System for Sustainable Context-Awareness in Exclusive ContextsSustainability10.3390/su90406479:4(647)Online publication date: 19-Apr-2017
https://doi.org/10.3390/su9040647
Davies NClinch SMikusz MBates OTurner HFriday ALangheinrich MClinch S(2017)Better offProceedings of the 6th ACM International Symposium on Pervasive Displays10.1145/3078810.3078821(1-9)Online publication date: 7-Jun-2017
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Gao YDong WHuang HBu JChen CXia MLiu X(2017)Whom to Blame? Automatic Diagnosis of Performance Bottlenecks on SmartphonesIEEE Transactions on Mobile Computing10.1109/TMC.2016.260425816:6(1773-1785)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1109/TMC.2016.2604258
Guo YWang CChen X(2017)Understanding Application-Battery Interactions on Smartphones: A Large-Scale Empirical StudyIEEE Access10.1109/ACCESS.2017.27286205(13387-13400)Online publication date: 2017
https://doi.org/10.1109/ACCESS.2017.2728620
Park JKim DBaek DLee J(2017)Low-power sensing model considering context transition for location-based servicesSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-017-2803-421:18(5223-5233)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1007/s00500-017-2803-4
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