research-article

Power estimation for mobile applications with profile-driven battery traces

Authors:

Xiangqun ChenAuthors Info & Claims

ISLPED '13: Proceedings of the 2013 International Symposium on Low Power Electronics and Design

Pages 120 - 125

Published: 04 September 2013 Publication History

Abstract

It becomes very important to understand power characteristics of mobile applications because more and more complex applications are running on modern smartphones. Although many techniques have been proposed to estimate the power dissipation rate for mobile applications, it typically requires hardware support (i.e., power meters) or complex power models (software profiling or hardware parameters). These techniques might work well in labs with a small set of applications. However, it becomes impractical when we try to estimate the power of mobile applications in an uncontrolled environment.

This paper proposes a novel method for estimating the power consumption of mobile applications with profile-based battery traces. Battery traces can be easily collected through a user-level application on any devices. Although it is difficult to achieve accurate results for only a few users because battery changes are coarse-grained, the method is expected to reach an accurate estimation when the number of battery traces reaches a certain scale. Our experiments based on battery traces from more than 80,000 users demonstrate that it is possible to estimate application power with only coarse-grained battery traces. The results are also validated with measured power numbers from a Monsoon power monitor.

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Cited By

Li XGallagher JHara TShigeno H(2016)Fine-Grained Energy Modeling for the Source Code of a Mobile ApplicationProceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services10.1145/2994374.2994394(180-189)Online publication date: 28-Nov-2016
https://dl.acm.org/doi/10.1145/2994374.2994394
Marz SZanden B(2016)Reducing Power Consumption and Latency in Mobile Devices Using an Event Stream ModelACM Transactions on Embedded Computing Systems10.1145/296420316:1(1-24)Online publication date: 13-Oct-2016
https://dl.acm.org/doi/10.1145/2964203
Metri GShi WBrockmeyer MManweiler JChoudhury R(2015)Energy-Efficiency Comparison of Mobile Platforms and ApplicationsProceedings of the 16th International Workshop on Mobile Computing Systems and Applications10.1145/2699343.2699358(39-44)Online publication date: 12-Feb-2015
https://dl.acm.org/doi/10.1145/2699343.2699358
Show More Cited By

Index Terms

Power estimation for mobile applications with profile-driven battery traces

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Information & Contributors

Information

Published In

cover image ACM Conferences

ISLPED '13: Proceedings of the 2013 International Symposium on Low Power Electronics and Design

September 2013

440 pages

ISBN:9781479912353

General Chairs:
Pai Chou
UC Irvine / NTHU Taiwan
,
Ru Huang
Peking University
,
Program Chairs:
Yuan Xie
Penn State / AMD
,
Tanay Karnik
Intel

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IEEE Press

Publication History

Published: 04 September 2013

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Research-article

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ISLPED'13

Sponsor:

SIGDA

ISLPED'13: International Symposium on Low Power Electronics and Design

September 4 - 6, 2013

Beijing, China

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Overall Acceptance Rate 398 of 1,159 submissions, 34%

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Citations

Cited By

Li XGallagher JHara TShigeno H(2016)Fine-Grained Energy Modeling for the Source Code of a Mobile ApplicationProceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services10.1145/2994374.2994394(180-189)Online publication date: 28-Nov-2016
https://dl.acm.org/doi/10.1145/2994374.2994394
Marz SZanden B(2016)Reducing Power Consumption and Latency in Mobile Devices Using an Event Stream ModelACM Transactions on Embedded Computing Systems10.1145/296420316:1(1-24)Online publication date: 13-Oct-2016
https://dl.acm.org/doi/10.1145/2964203
Metri GShi WBrockmeyer MManweiler JChoudhury R(2015)Energy-Efficiency Comparison of Mobile Platforms and ApplicationsProceedings of the 16th International Workshop on Mobile Computing Systems and Applications10.1145/2699343.2699358(39-44)Online publication date: 12-Feb-2015
https://dl.acm.org/doi/10.1145/2699343.2699358
Espada AMar Gallardo MSalmerón AMerino P(2015)Runtime Verification of Expected Energy Consumption in SmartphonesProceedings of the 22nd International Symposium on Model Checking Software - Volume 923210.1007/978-3-319-23404-5_10(132-149)Online publication date: 24-Aug-2015
https://dl.acm.org/doi/10.1007/978-3-319-23404-5_10
Jung WChon YKim DCha HBrush AFriday AKientz JScott JSong J(2014)PowerletProceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2632048.2636085(45-56)Online publication date: 13-Sep-2014
https://dl.acm.org/doi/10.1145/2632048.2636085
Zhong KZhu XWang TZhang DLuo XLiu DLiu WSha EXie YKarnik TKhellah MMehra R(2014)DR. SwapProceedings of the 2014 international symposium on Low power electronics and design10.1145/2627369.2627647(81-86)Online publication date: 11-Aug-2014
https://dl.acm.org/doi/10.1145/2627369.2627647

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