Nvidia GeForce NOW 云游戏的网络解剖与实时测量
Network Anatomy and Real-Time Measurement of Nvidia GeForce NOW Cloud Gaming
AI总结：
本文剖析 GeForce NOW 云游戏会话的建连与流量特征，提出基于实时网络流量检测游戏并测量延迟、帧率和分辨率的方法，且在校园网部署验证。
摘要：
云游戏是在云端渲染游戏图形，并以实时视频形式回传给用户的模式，它将游戏市场扩展至数十亿没有游戏机或高性能图形 PC 的用户。Nvidia、Amazon、Sony 和 Microsoft 等公司正在投资建设云游戏平台，以开拓这一尚未得到充分服务的庞大市场。然而，云游戏要求用户具备高带宽和稳定的网络连接：典型主机游戏大约需要 100–200 kbps，而云游戏至少需要 10–20 Mbps。这使得互联网服务提供商（ISP）成为确保终端用户获得良好游戏体验的关键角色。本文提出一种在其网络基础设施中检测 Nvidia GeForce NOW 云游戏会话并测量相关用户体验的方法。具体而言，我们设想 ISP 利用该方法在正确的时间和位置配置网络容量，以在合适的体验水平上支持云游戏增长；同时识别用户设置（浏览器与应用）和连接类型（有线与无线）等情境因素在性能下降中的作用。我们首先详细剖析多个平台上云游戏会话的流建立过程和流量体积特征，随后给出一种通过实时分析网络流量检测游戏过程并测量延迟、帧率和分辨率等关键体验维度的方法。相关洞察和方法还在实验室中针对 XBox Cloud Gaming 平台进行了验证。随后，我们在校园网络中实现并部署该方法，以捕获不同用户设置和连接类型下的游戏行为及体验指标；我们相信这些结果对网络运营商具有价值。
英文摘要：
Cloud gaming, wherein game graphics is rendered in the cloud and streamed back to the user as real-time video, expands the gaming market to billions of users who do not have gaming consoles or high-power graphics PCs. Companies like Nvidia, Amazon, Sony and Microsoft are investing in building cloud gaming platforms to tap this large unserved market. However, cloud gaming requires the user to have high bandwidth and stable network connectivity - whereas a typical console game needs about 100-200 kbps, a cloud game demands minimum 10-20 Mbps. This makes the Internet Service Provider (ISP) a key player in ensuring the end-user's good gaming experience. In this paper we develop a method to detect Nvidia's GeForce NOW cloud gaming sessions over their network infrastructure, and measure associated user experience. In particular, we envision ISPs taking advantage of our method to provision network capacity at the right time and in the right place to support growth in cloud gaming at the right experience level; as well as identify the role of contextual factors such as user setup (browser vs app) and connectivity type (wired vs wireless) in performance degradation. We first present a detailed anatomy of flow establishment and volumetric profiles of cloud gaming sessions over multiple platforms, followed by a method to detect gameplay and measure key experience aspects such as latency, frame rate and resolution via real-time analysis of network traffic. The insights and methods are also validated in the lab for XBox Cloud Gaming platform. We then implement and deploy our method in a campus network to capture gameplay behaviors and experience measures across various user setups and connectivity types which we believe are valuable for network operators.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
