Enabling Adaptive Cloud Gaming in an Open-Source Cloud Gaming Platform
Enabling Adaptive Cloud Gaming in an Open-Source Cloud Gaming Platform
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DOI：
10.1109/tcsvt.2015.2450173
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发表时间：
2015-12-01
影响因子：
8.4
通讯作者：
Hsu, Cheng-Hsin
中科院分区：
文献类型：
--
作者：
Hong, Hua-Jun;Hsu, Chih-Fan;Hsu, Cheng-Hsin
我们研究如何最佳地调整正在进行的云游戏会话，以最大限度地提高动态环境中的游戏玩家体验。所考虑的问题是相当具有挑战性的，因为：1）玩家体验是主观的并且难以量化; 2）现有的开源云游戏平台不支持视频编解码器的动态重新配置;以及3）并发玩家之间的资源分配留下了巨大的优化空间。我们通过以下方式严格应对这三个挑战：1）在实时互联网上进行众包用户研究，以获得经验性游戏体验模型; 2）增强云游戏平台，以支持实时帧速率和比特率自适应;以及3）提出最佳而有效的算法，以最大限度地提高整体游戏体验或确保玩家之间的公平性。我们进行了广泛的跟踪驱动的模拟，以证明我们的算法和实现的优点。我们的模拟结果表明，所提出的高效算法：1）优于基线算法高达46%和30%; 2）运行速度快，规模大（>= 8000玩家）的问题; 3）实现用户指定的优化标准，如最大化平均玩家体验或最大化最小玩家体验。由此产生的云游戏平台可以被许多研究人员、开发人员和游戏玩家利用。
We study the problem of optimally adapting ongoing cloud gaming sessions to maximize the gamer experience in dynamic environments. The considered problem is quite challenging because: 1) gamer experience is subjective and hard to quantify; 2) the existing open-source cloud gaming platform does not support dynamic reconfigurations of video codecs; and 3) the resource allocation among concurrent gamers leaves a huge room to optimize. We rigorously address these three challenges by: 1) conducting a crowdsourced user study over the live Internet for an empirical gaming experience model; 2) enhancing the cloud gaming platform to support frame rate and bitrate adaptation on-the-fly; and 3) proposing optimal yet efficient algorithms to maximize the overall gaming experience or ensure the fairness among gamers. We conduct extensive trace-driven simulations to demonstrate the merits of our algorithms and implementation. Our simulation results show that the proposed efficient algorithms: 1) outperform the baseline algorithms by up to 46% and 30%; 2) run fast and scale to large (>= 8000 gamers) problems; and 3) achieve the user-specified optimization criteria, such as maximizing average gamer experience or maximizing the minimum gamer experience. The resulting cloud gaming platform can be leveraged by many researchers, developers, and gamers.