PowerForecaster: Predicting power impact of mobile sensing applications at pre-installation time

PowerForecaster: Predicting power impact of mobile sensing applications at pre-installation time

Today's smartphone application (hereinafter 'app') markets miss a key piece of information, power consumption of apps. This causes a severe problem for continuous sensing apps as they consume significant power without users' awareness. Users have no choice but to repeatedly insta...

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Bibliographic Details
Main Authors: MIN, Chulhong, LEE, Youngki, YOO, Chungkuk, KANG, Seungwoo, HWANG, Inseok, SONG, Junehwa
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
Subjects:
Power
Estimation
System
Sensing
Pre-installation tie
Computer Sciences
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/3307
https://ink.library.smu.edu.sg/context/sis_research/article/4309/viewcontent/powerforecaster.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/3307
https://ink.library.smu.edu.sg/context/sis_research/article/4309/viewcontent/powerforecaster.pdf

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