PowerForecaster: Predicting Smartphone Power Impact of Continuous Sensing Applications at Pre-installation Time

PowerForecaster: Predicting Smartphone Power Impact of Continuous 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, CHOI, Sangwon, PARK, Pillsoon, HWANG, Inseok, JU, Younghyun, CHOI, Seungpyo, SONG, Junehwa
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
Subjects:
Power impact
Sensing applications
Pre-installation
Smartphone
Computer Sciences
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/3122
https://ink.library.smu.edu.sg/context/sis_research/article/4122/viewcontent/PowerForecaster_2015_pv_oa.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/3122
https://ink.library.smu.edu.sg/context/sis_research/article/4122/viewcontent/PowerForecaster_2015_pv_oa.pdf

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