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Energy-Efficient Execution for Repetitive App Usages on big.LITTLE Architectures

Published:18 June 2017Publication History

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.

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  • Published in

    cover image ACM Conferences
    DAC '17: Proceedings of the 54th Annual Design Automation Conference 2017
    June 2017
    533 pages
    ISBN:9781450349277
    DOI:10.1145/3061639

    Copyright © 2017 ACM

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    Publication History

    • Published: 18 June 2017

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