Energy-Aware Computing for Android Platforms

被引:0
|
作者
Chang, Hung-Ching [1 ]
Agrawal, Abhishek R. [2 ]
Cameron, Kirk W. [1 ]
机构
[1] Virginia Tech, Dept Comp Sci, Blacksburg, VA 24061 USA
[2] Intel Corp, Software & Serv Grp, Folsom, CA USA
关键词
Smartphones; Tablets; Mobile; Energy; battery life; Android;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Android smartphones and tablets are changing peoples' daily lives. People can now perform tasks on the go that were previously impossible without a laptop or desktop system. The increasingly demanding applications combined with the mobile nature of such systems places heavy emphasis on battery life. Unfortunately, many end users are not satisfied with the battery life of their Android devices. One key challenge developer's face is to understand how their software impacts energy usage. Ideally, a resource within a device should only consume power when needed and otherwise remain inactive. In this survey, we study the aggressive power management techniques underpinning the Android operating system. To aid developer's understanding of application power consumption, we introduce system-wide, function-level power profiling tools and a methodology for energy-efficiency debugging.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] Load prediction for energy-aware scheduling for Cloud computing platforms
    Dambreville, Alexandre
    Tomasik, Joanna
    Cohen, Johanne
    Dufoulon, Fabien
    2017 IEEE 37TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2017), 2017, : 2604 - 2607
  • [2] ENERGY-AWARE COMPUTING Introduction
    Wenisch, Thomas F.
    Buyuktosunoglu, Alper
    IEEE MICRO, 2012, 32 (05) : 6 - 8
  • [3] Energy-Aware Heuristics for Scheduling Parallel Applications on High Performance Computing Platforms
    Ebaid, Ahmed
    Rajasekaran, Sanguthevar
    Ammar, Reda
    Ebaid, Rasha
    2014 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT), 2014, : 282 - 289
  • [4] Power- and Energy-Aware Computing
    Altman, Erik R.
    IEEE MICRO, 2012, 32 (05) : 2 - 2
  • [5] Energy-Aware Scheduling for Sensor Node Platforms
    Tak, Sungwoo
    Kim, Hangeul
    Kim, Donglyul
    Kim, Yougyung
    2014 15TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED COMPUTING, APPLICATIONS AND TECHNOLOGIES (PDCAT 2014), 2014, : 61 - 68
  • [6] Energy-aware Scheduling on Multiprocessor Platforms with Devices
    Li, Dawei
    Wu, Jie
    Li, Keqin
    Hwang, Kai
    2013 IEEE THIRD INTERNATIONAL CONFERENCE ON CLOUD AND GREEN COMPUTING (CGC 2013), 2013, : 26 - 33
  • [7] Energy-Aware Performance Evaluation of Android Custom Kernels
    Corral, Luis
    Georgiev, Anton B.
    Janes, Andrea
    Kofler, Stefan
    2015 IEEE/ACM FOURTH INTERNATIONAL WORKSHOP ON GREEN AND SUSTAINABLE SOFTWARE (GREENS), 2015, : 1 - 7
  • [8] μDROID: An Energy-Aware Mutation Testing Framework for Android
    Jabbarvand, Reyhaneh
    Malek, Sam
    ESEC/FSE 2017: PROCEEDINGS OF THE 2017 11TH JOINT MEETING ON FOUNDATIONS OF SOFTWARE ENGINEERING, 2017, : 208 - 219
  • [9] Energy-Aware Scheduling of Tasks in Cloud Computing
    Mehor, Yamina
    Rebbah, Mohammed
    Smail, Omar
    Informatica (Slovenia), 2024, 48 (16): : 125 - 136
  • [10] Energy-aware scheduling in cloud computing systems
    Tomas Cotes-Ruiz, Ivan
    Prado, Rocio P.
    Garcia-Galan, Sebastian
    Enrique Munoz-Exposito, Jose
    2017 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2017,