cs.AI updates on arXiv.org 09月25日
云游戏体验测量方法研究
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本文提出一种基于网络流量分析的云游戏体验测量方法,通过分析游戏标题和玩家活动阶段等上下文因素,实现云游戏体验的实时评估,并对大量云游戏流会话数据进行分析,揭示带宽消耗和体验水平与游戏背景的关系。

arXiv:2509.19669v1 Announce Type: cross Abstract: To tap into the growing market of cloud gaming, whereby game graphics is rendered in the cloud and streamed back to the user as a video feed, network operators are creating monetizable assurance services that dynamically provision network resources. However, without accurately measuring cloud gaming user experience, they cannot assess the effectiveness of their provisioning methods. Basic measures such as bandwidth and frame rate by themselves do not suffice, and can only be interpreted in the context of the game played and the player activity within the game. This paper equips the network operator with a method to obtain a real-time measure of cloud gaming experience by analyzing network traffic, including contextual factors such as the game title and player activity stage. Our method is able to classify the game title within the first five seconds of game launch, and continuously assess the player activity stage as being active, passive, or idle. We deploy it in an ISP hosting NVIDIA cloud gaming servers for the region. We provide insights from hundreds of thousands of cloud game streaming sessions over a three-month period into the dependence of bandwidth consumption and experience level on the gameplay contexts.

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云游戏 网络流量分析 用户体验 带宽消耗
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