Proceedings of the 8th international conference on Mobile systems, applications, and services
ICCD '11 Proceedings of the 2011 IEEE 29th International Conference on Computer Design
Who killed my battery?: analyzing mobile browser energy consumption
Proceedings of the 21st international conference on World Wide Web
AppInsight: mobile app performance monitoring in the wild
OSDI'12 Proceedings of the 10th USENIX conference on Operating Systems Design and Implementation
How is energy consumed in smartphone display applications?
Proceedings of the 14th Workshop on Mobile Computing Systems and Applications
Application modes: a narrow interface for end-user power management in mobile devices
Proceedings of the 14th Workshop on Mobile Computing Systems and Applications
The case for psychological computing
Proceedings of the 14th Workshop on Mobile Computing Systems and Applications
SmartCap: user experience-oriented power adaptation for smartphone's application processor
Proceedings of the Conference on Design, Automation and Test in Europe
Hi-index | 0.00 |
We propose a novel power optimization framework based on user-perceived response time analysis. Unlike most existing power optimization approaches, our framework takes explicit account of the quality of user experience into applying low-power techniques. We divide an execution of a given user-interactive session into two intervals, one where the system response time directly affects user experience and the other where the system response time does not affect user experience. For the user-oblivious response time interval, our framework allows more aggressive applications of low-power techniques for a higher energy efficiency. In order to identify the user-perceived response time of smartphone applications during run time, we developed an on-line user-perceived response time analyzer (ura) for Android-based smartphones. Based on the analysis result of ura, our proposed power optimization framework employs more aggressive low-power techniques in the user-oblivious interval. Our experimental results on a smartphone development board show that the proposed technique can reduce the CPU energy consumption by up to 65.6% over the Android's default ondemand cpufreq governor.