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Mobile Information Systems
Volume 2017, Article ID 9642958, 11 pages
https://doi.org/10.1155/2017/9642958
Research Article

An Adaptive and Integrated Low-Power Framework for Multicore Mobile Computing

1Department of Software, Dankook University, Yongin, Republic of Korea
2Korea Communications Agency, Daejeon, Republic of Korea

Correspondence should be addressed to Jongmoo Choi; rk.ca.kooknad@mjiohc

Received 20 January 2017; Accepted 15 March 2017; Published 12 June 2017

Academic Editor: Karl Andersson

Copyright © 2017 Jongmoo Choi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.