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Measurement of the Responses of Cloud-based Game Streaming to Network Congestion
[Testbed]

Measurement of the Responses of Cloud-based Game Streaming to Network Congestion


Xiaokun Xu and Mark Claypool

In Proceedings of the 32nd ACM International Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV)
Athlone, Ireland
June 17, 2022


Cloud-based game streaming has emerged as a viable way to play games anywhere with a good network connection. While previous research has studied the network turbulence of game streaming traffic, there is as of yet no work exploring how cloud-based game streaming responds to rival connections on a congested network. This paper presents experiments measuring and comparing the network response for three popular commercial streaming services - Google Stadia, NVidia GeForce Now, and Amazon Luna - competing with TCP flows on a congested network. Analysis of the bitrates, loss and latency show that the three systems have different adaptations to network congestion and vary in their fairness to competing TCP flows sharing a bottleneck link.


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