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首页> 外文期刊>IEEE Transactions on Computers >Dynamic Backlight Scaling Optimization: A Cloud-Based Energy-Saving Service for Mobile Streaming Applications
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Dynamic Backlight Scaling Optimization: A Cloud-Based Energy-Saving Service for Mobile Streaming Applications

机译:动态背光缩放优化:针对移动流应用程序的基于云的节能服务

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摘要

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 how to minimize the energy consumption of the backlight when displaying a video stream without adversely impacting the user's visual experience. First, we model the problem as a dynamic backlight scaling optimization problem. Then, we propose algorithms to solve the fundamental problem and prove the optimality in terms of energy savings. Finally, based on the algorithms, we present a cloud-based energy-saving service. We have also developed a prototype implementation integrated with existing video streaming applications to validate the practicability of the approach. The results of experiments conducted to evaluate the efficacy of the proposed approach are very encouraging and show energy savings of 15-49 percent on commercial mobile devices.
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。本文探讨了在显示视频流时如何在不对用户的视觉体验产生不利影响的情况下最大程度地减少背光的能耗。首先,我们将该问题建模为动态背光缩放优化问题。然后,我们提出了解决基本问题的算法,并证明了在节能方面的最优性。最后,基于这些算法,我们提出了一种基于云的节能服务。我们还开发了与现有视频流应用程序集成的原型实现,以验证该方法的实用性。为评估所提出的方法的有效性而进行的实验结果令人鼓舞,并且表明在商用移动设备上可节省15-49%的能源。

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