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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| Main Authors: | , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2016
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| Subjects: | |
| 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 |