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Dynamic backlight scaling optimization for mobile streaming applications

机译: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:随着各种各样的移动应用,减少移动设备的能耗是维持多媒体流应用中的主要挑战。本文探讨了背光缩放,被认为是有希望的技术解决方案。首先,我们将问题模拟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的能量消耗,而不会对用户的视觉感知产生不利影响。然后,我们提出了一种动态编程算法来解决基本问题,并在节能方面证明其最优性。最后,基于算法,​​我们考虑实施问题。我们还开发了一种与现有视频流服务集成的原型实现,以验证方法的实用性。进行实验结果以证明所提出的算法的功效非常令人鼓舞。

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