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Cloud Fog: Towards High Quality of Experience in Cloud Gaming

机译:云雾:打造高质量的云游戏体验

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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)的日益普及和移动游戏的快速增长,云游戏比传统的MMOG游戏模型具有广阔的前景,因为它使玩家摆脱了在本地计算机上安装硬件和游戏的需求。但是,由于将图形渲染卸载到云中,最终用户与云之间的数据传输会显着增加响应延迟并限制用户覆盖范围,从而阻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,但这要付出高昂的代价。我们提出了一个轻量级的系统,称为Cloud Fog,其中包含“雾”,该雾由超级节点组成,这些超级节点负责渲染游戏视频并将其流式传输到附近的玩家。雾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,这大大减少了流量,因此减少了等待时间和带宽消耗。为了进一步提高QoE,我们提出了接收机驱动的编码速率自适应策略来增加回放的连续性,并提出限期驱动的发送方缓冲区调度策略,以确保分段在其响应延迟内到达播放器。 Peer Sim和Planet Lab的实验结果表明,Cloud Fog以及我们各自的策略在增加用户覆盖率,减少响应延迟和带宽消耗方面的有效性和效率。

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