TY - JOUR A2 - Andersson, Karl AU - Choi, Jongmoo AU - Jung, Bumjong AU - Choi, Yongjae AU - Son, Seiil PY - 2017 DA - 2017/06/12 TI - An Adaptive and Integrated Low-Power Framework for Multicore Mobile Computing SP - 9642958 VL - 2017 AB - Employing multicore in mobile computing such as smartphone and IoT (Internet of Things) device is a double-edged sword. It provides ample computing capabilities required in recent intelligent mobile services including voice recognition, image processing, big data analysis, and deep learning. However, it requires a great deal of power consumption, which causes creating a thermal hot spot and putting pressure on the energy resource in a mobile device. In this paper, we propose a novel framework that integrates two well-known low-power techniques, DPM (Dynamic Power Management) and DVFS (Dynamic Voltage and Frequency Scaling) for energy efficiency in multicore mobile systems. The key feature of the proposed framework is adaptability. By monitoring the online resource usage such as CPU utilization and power consumption, the framework can orchestrate diverse DPM and DVFS policies according to workload characteristics. Real implementation based experiments using three mobile devices have shown that it can reduce the power consumption ranging from 22% to 79%, while affecting negligibly the performance of workloads. SN - 1574-017X UR - https://doi.org/10.1155/2017/9642958 DO - 10.1155/2017/9642958 JF - Mobile Information Systems PB - Hindawi KW - ER -