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An Integrated Energy Management Framework for Multiple Side-by-Side Applications on Smartphones

机译:智能手机上多个并排应用的集成能源管理框架

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While simultaneous side-by-side execution of multiple applications in split-screen mode on smartphones improves quality-of-service (QoS) for end-users, it also results in increased power consumption and reduced battery lifetime. Saving energy when multiple concurrent applications run side-by-side is extremely challenging since applications often utilize the same shared system resources, e.g., memory, at the same time, and resource needs change over time. We present an application-aware integrated system-level energy management framework that (1) leverages applications’ offline profiles to detect dynamic changes in resource usage patterns of the workload of applications, and (2) opportunistically throttle (and later redeem) applications based on their instantaneous resource usage characteristics by dynamically adjusting both the voltage and frequency settings of the processor and memory bandwidth at runtime to achieve the most energy-efficient configuration subject to QoS constraints. Experiments on a Pixel 2 smartphone show that our approach achieves an average energy reduction of 13% (16%) and up to 16% (20%) compared to the most closely related work [1] (and default Android governor) for different combinations of real-world applications running side-by-side in split-screen mode. Our approach is also able to reduce the energy consumption of newly installed real-world applications for which there exists no prior resource usage data by up to 12% (14%) when compared to [1] (and default Android governor).
机译:虽然在智能手机上的分屏模式下同时执行多个应用程序,但最终用户的服务质量(QoS),它也会导致功耗增加和减少电池寿命。当多个并发应用程序并排运行时,节省能量非常具有挑战性,因为应用程序通常使用相同的共享系统资源,例如内存,同时内存和资源需求随时间变化。我们介绍了一个应用程序感知的集成系统级能量管理框架,(1)利用应用程序的脱机配置文件来检测应用程序工作量的资源使用模式的动态变化,以及(2)基于的机会地区(和后续兑换)应用程序它们的瞬时资源使用特性通过在运行时动态调整处理器和内存带宽的电压和频率设置,以实现受QoS限制的最节能配置。与最密切相关的工作[1](以及默认的Android Goversor)进行不同组合相比,我们的方法达到了智能手机的平均能量降低13%(16%),高达16%(20%)在筛选模式下并排运行的实际应用程序。我们的方法还能够减少新安装的真实应用程序的能耗,而与[1](以及默认的Android Goveror)相比,在其中没有最高资源使用数据最高可达12%(14%)。

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