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Cloud Fog: Towards High Quality of Experience in Cloud Gaming

机译:云雾:云游戏的高质量经验

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With the increasing popularity of Massively Multiplayer Online Game (MMOG) and fast growth of mobile gaming, cloud gaming exhibits great promises over the conventional MMOG gaming model as it frees players from the requirement of hardware and game installation on their local computers. However, as the graphics rendering is offloaded to the cloud, the data transmission between the end-users and the cloud significantly increases the response latency and limits the user coverage, thus preventing cloud gaming to achieve high user Quality of Experience (QoE). To solve this problem, previous research suggested deploying more data centers, but it comes at a prohibitive cost. We propose a lightweight system called Cloud Fog, which incorporates "fog" consisting of super nodes that are responsible for rendering game videos and streaming them to their nearby players. Fog enables the cloud to be only responsible for the intensive game state computation and sending update information to super nodes, which significantly reduce the traffic hence the latency and bandwidth consumption. To further enhance QoE, we propose the receiver-driven encoding rate adaptation strategy to increase the playback continuity and the deadline-driven sender buffer scheduling strategy to ensure that the segments arrive at the players within their response latency. Experimental results from Peer Sim and Planet Lab show the effectiveness and efficiency of Cloud Fog and our individual strategies in increasing user coverage, reducing response latency and bandwidth consumption.
机译:随着大型多人在线游戏(MMOG)的普及,以及移动游戏的快速增长,云游戏在传统的MMOG游戏模型上展现出巨大的承诺,因为它将玩家从他们当地的计算机上的要求中释放出来的播放器。然而,由于图形渲染卸载到云,最终用户和云之间的数据传输显着增加了响应延迟并限制了用户覆盖范围,从而防止云游戏实现高用户体验质量(QoE)。为了解决这个问题,以前的研究建议部署更多的数据中心,但它以禁止的成本。我们提出了一个称为云雾雾的轻量级系统,它包含了由负责渲染游戏视频并将其流向附近的玩家的超级节点组成的“雾”。 FOG使云仅负责密集的游戏状态计算并将更新信息发送到超级节点,这显着降低了延迟和带宽消耗。为了进一步增强QoE,我们提出了接收器驱动的编码率适应策略,以增加回放连续性和截止日期驱动的发件人缓冲器调度策略,以确保段在其响应延迟内到达玩家。同行SIM卡和行星实验室的实验结果表明了云雾雾的有效性和效率,以及我们在增加用户覆盖范围内的各个策略,降低响应延迟和带宽消耗。

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