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Dynamic backlight scaling optimization for mobile streaming applications

机译:针对移动流媒体应用的动态背光缩放优化

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With the increasing variety of mobile applications, reducing the energy consumption of mobile devices is a major challenge in sustaining multimedia streaming applications. This paper explores backlight scaling, which is deemed a promising technical solution. First, we model the problem as a dynamic backlight scaling optimization problem. The objective is to minimize the energy consumption of the backlight when displaying a video stream without adversely impacting the user's visual perception. Then, we propose a dynamic-programming algorithm to solve the fundamental problem and prove its optimality in terms of energy savings. Finally, based on the algorithm, we consider implementation issues. We have also developed a prototype implementation integrated with existing video streaming services to validate the practicability of the approach. The results of experiments conducted to demonstrate the efficacy of the proposed algorithm are very encouraging.
机译:随着移动应用程序种类的增加,减少移动设备的能耗是维持多媒体流应用程序的主要挑战。本文探讨了背光缩放,这被认为是一种有前途的技术解决方案。首先,我们将该问题建模为动态背光缩放优化问题。目的是在显示视频流时最小化背光灯的能量消耗,而不会不利地影响用户的视觉感知。然后,我们提出了一种动态编程算法来解决基本问题,并从节能方面证明其最优性。最后,基于算法,​​我们考虑实现问题。我们还开发了与现有视频流服务集成的原型实现,以验证该方法的实用性。为证明所提出算法的有效性而进行的实验结果令人鼓舞。

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