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

机译:SCQ:基于舞台的,背景感知,移动设备上的交互式应用程序的QoE驱动的电源优化

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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生态。人们花了很多时间使用他们的智能手机,特别是在社交网络,网络浏览和游戏等交互式应用程序上。为了节省这些应用的功耗变得最终。先前的作品尝试通过平衡性能和工作负载来节省电力。这些方法并不全面,因为它们不会考虑用户体验(或经验质量,QoE)。忽视这个因素可能会让用户甚至无法感知的过度表现,导致浪费权力。用户的QoE受到许多因素的影响,包括其背景和应用程序的阶段。估计不同情况的QoE要求不仅复杂,而且至关重要。在本文中,通过首先预测交互式应用程序的执行阶段,然后应用基于舞台的,上下文感知的QoE驱动的调速器(SCQ)来攻击这种复杂问题以调整CPU频率。实验结果表明,我们的方法可以节省23%的力量而不是影响用户QoE的默认调速器。

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