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SCQ: Stage-Based, Context-Aware, QoE-Driven Power Optimization for Interactive Applications on Mobile Devices

机译:SCQ:基于阶段,上下文感知,QoE驱动的功率优化,用于移动设备上的交互式应用程序

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Mobile devices such as smartphones and tablets have become our daily necessities. People spent a lot of time using their smartphones, especially on interactive applications such as social networks, web browsing, and games. To conserve power consumption of such applications becomes ultimately important. Prior works try to save power by balancing performance and workload. These approaches are not comprehensive because they do not take user experience (or Quality of Experience, QoE) into account. Overlooking this factor may turn out to subscribe an excessive performance that the user cannot even perceive, leading to a waste of power. Users' QoE is affected by many factors, including their contexts and the stage of the application. Estimating the QoE requirements for different situations is not only complicated but also crucial. In this paper, we attack this complex problem by first predicting the execution stages of the interactive applications and then applying a stage-based, context-aware, QoE-driven governor (SCQ) to adjust the CPU frequency. Experimental results show that our approach can save 23% more power than the default governor without affecting users' QoE.
机译:智能手机和平板电脑等移动设备已成为我们的日常必需品。人们花费大量时间使用智能手机,尤其是在诸如社交网络,Web浏览和游戏之类的交互式应用程序上。节省此类应用的功耗最终变得至关重要。先前的工作试图通过平衡性能和工作量来节省电量。这些方法并不全面,因为它们没有考虑用户体验(或体验质量,QoE)。忽略此因素可能会导致用户甚至无法感知的过高性能,从而导致功率浪费。用户的QoE受许多因素影响,包括他们的上下文和应用程序的阶段。估计不同情况下的QoE要求不仅复杂,而且至关重要。在本文中,我们通过首先预测交互式应用程序的执行阶段,然后应用基于阶段,上下文感知,QoE驱动的调控器(SCQ)来调整CPU频率,来解决此复杂问题。实验结果表明,我们的方法可以比默认的调速器节省23%的电量,而不会影响用户的QoE。

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