@inproceedings{cd142007bb60451cb8c44aa2c8969662,
title = "Energy-Efficient Execution for Repetitive App Usages on big.LITTLE Architectures",
abstract = "Smartphones are now equipped with high-performance processors to meet the increasing complexity of apps. However, these processors drain the battery quickly, which has become a major concern for Smartphone users. The latest big.LITTLE multicore architecture provides new energy-saving facilities in addition to traditional DVFS technique. But this mechanism has not been well exploited by current Smartphones. In this paper, we propose a framework that records the performance demands for repetitive app usage scenarios, and adjusts the big.LITTLE processor to an energy-efficient configuration for subsequent executions of these scenarios. We implemented our framework on Android Smartphones, and the experiments achieve 30\% energy saving on average without compromising user experience.",
keywords = "DVFS, Smartphone, big.LITTLE architecture, energy efficiency",
author = "Xianfeng Li and Guikang Chen and Wen Wen",
note = "Publisher Copyright: {\textcopyright} 2017 ACM.; 54th Annual Design Automation Conference, DAC 2017 ; Conference date: 18-06-2017 Through 22-06-2017",
year = "2017",
month = jun,
day = "18",
doi = "10.1145/3061639.3062239",
language = "English",
series = "Proceedings - Design Automation Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of the 54th Annual Design Automation Conference 2017, DAC 2017",
address = "United States",
}
