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A novel adaptive streaming approach for cloud-based mobile video games

机译：一种基于云的移动视频游戏的新型自适应流媒体方法

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摘要

Cloud gaming addresses multiple challenges related to the constraints on the resources of the players computer as well as the compatibility between the online game platform and the computers. The abundant CPU, memory and storage resources available in the cloud infrastructures enable new interaction schemes between the game and the player. For instance, through the development of new video coding strategies, the user experience can be improved, especially in the case where the access to the game is made through resource-impoverished mobile terminals. The objective of this paper is to introduce a new video coding strategy for cloud gaming. The proposed strategy takes into consideration the QoS parameters and the energy-consumption of the decoder. This allows balancing the graphic quality to the lifetime of the mobile terminal. Our strategy combines the use of the Kalman filter and the Adaptive Control Feedback Control Loop. This allows the implementation of interpolation and prediction mapping functionalities in order to compensate the loss of significant information from several frames. Through an experimental comparison of our scheme with respect to the most popular cloud gaming techniques, we show that we improve the trade-off between QoS parameters (i.e., processing delay, network bandwidth) and the lifetime of the mobile terminals.
机译：云游戏解决了与玩家计算机资源的限制以及在线游戏平台与计算机之间的兼容性有关的多个挑战。云基础架构中可用的大量CPU，内存和存储资源支持游戏与玩家之间的新交互方案。例如，通过开发新的视频编码策略，可以改善用户体验，尤其是在通过资源匮乏的移动终端进行游戏访问的情况下。本文的目的是为云游戏介绍一种新的视频编码策略。所提出的策略考虑了QoS参数和解码器的能量消耗。这允许在移动终端的寿命与图形质量之间取得平衡。我们的策略结合了卡尔曼滤波器和自适应控制反馈控制回路的使用。这允许内插和预测映射功能的实现，以便补偿来自几个帧的重要信息的丢失。通过将我们的方案与最流行的云游戏技术进行实验比较，我们表明我们改善了QoS参数（即处理延迟，网络带宽）与移动终端的寿命之间的权衡。

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