TY - GEN
T1 - User experience enhanced task scheduling and processor frequency scaling for energy-sensitive mobile devices
AU - Dai, Jie
AU - Liu, Weichen
AU - Lin, Xiaohao
AU - Ye, Yaoyao
AU - Xiao, Chunming
AU - Wu, Kaijie
AU - Zhuge, Qingfeng
AU - Sha, Edwin H.M.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/23
Y1 - 2015/11/23
N2 - Mobile devices such as smartphones, tablets and various tiny smart equipment are widely subjected to the limit of energy consumption. Moreover, user experience has become an up-to-the-moment research topic in mobile devices. In most mobile devices, the processor is usually set in a higher frequency level to provide better performance, which would cause the increment of energy consumption. In order to address this issue, in this paper, we propose a novel task scheduling model to harvest the energy saving and user experience improvement in energy-sensitive mobile devices. In our task scheduling model, we introduce the concept of user-centric task, and present tow judgmental principles to determine user-centric tasks (i.e., foreground/interactive tasks). For enhancing user experience, we reduce slack time of the user-centric tasks properly to achieve a shorter response time. We then present two algorithms to calculate the optimal frequencies and allocate the CPU resources. The experimental evaluation results show that our task scheduling model can achieve a tradeoff between energy consumption and performance, and enhance user experience.
AB - Mobile devices such as smartphones, tablets and various tiny smart equipment are widely subjected to the limit of energy consumption. Moreover, user experience has become an up-to-the-moment research topic in mobile devices. In most mobile devices, the processor is usually set in a higher frequency level to provide better performance, which would cause the increment of energy consumption. In order to address this issue, in this paper, we propose a novel task scheduling model to harvest the energy saving and user experience improvement in energy-sensitive mobile devices. In our task scheduling model, we introduce the concept of user-centric task, and present tow judgmental principles to determine user-centric tasks (i.e., foreground/interactive tasks). For enhancing user experience, we reduce slack time of the user-centric tasks properly to achieve a shorter response time. We then present two algorithms to calculate the optimal frequencies and allocate the CPU resources. The experimental evaluation results show that our task scheduling model can achieve a tradeoff between energy consumption and performance, and enhance user experience.
KW - Energy consumption
KW - Mobile communication
KW - Mobile handsets
KW - Processor scheduling
KW - Radio spectrum management
KW - Resource management
KW - Scheduling
UR - https://www.scopus.com/pages/publications/84961722028
U2 - 10.1109/HPCC-CSS-ICESS.2015.61
DO - 10.1109/HPCC-CSS-ICESS.2015.61
M3 - 会议稿件
AN - SCOPUS:84961722028
T3 - Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015
SP - 941
EP - 944
BT - Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015
Y2 - 24 August 2015 through 26 August 2015
ER -
