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A Delay-Aware Adaptation Framework for Cloud Gaming Under the Computation Constraint of User Devices

机译:用户设备计算约束下的云游戏延迟感知自适应框架

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Cloud gaming has emerged as a new trend in the gaming industry, bringing a lot of benefits to both players and service providers. In cloud gaming, it is essential to ensure low end-to-end delay for good use experience. Hence, sufficient computational resources must be available at the client in order to process video in a timely manner. However, thin clients such as mobile devices generally have limited computation capabilities. Thus, the available computational resources may be insufficient to support the client, such as in case of low battery. In this paper, we propose a new adaptation framework for resource-constrained cloud gaming clients. The proposed framework combines frame skipping at the server and frame discarding at the client according to available computational resources of the client. Experiment results show that the proposed framework can significantly improve video quality given a delay constraint compared to conventional methods.
机译:云游戏已成为游戏行业的一种新趋势,为玩家和服务提供商带来了很多好处。在云游戏中,确保低端到端延迟对于良好的使用体验至关重要。因此,客户端必须有足够的计算资源才能及时处理视频。但是,诸如移动设备之类的瘦客户端通常具有有限的计算能力。因此,例如在电池电量低的情况下,可用的计算资源可能不足以支持客户端。在本文中,我们为资源受限的云游戏客户端提出了一种新的适应框架。所提出的框架根据客户端的可用计算资源,将服务器处的跳帧与客户端处的帧丢弃结合起来。实验结果表明,与传统方法相比,提出的框架在延迟约束下可以显着提高视频质量。

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