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

• 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
• Institution: Singapore Management University

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...