A network analysis on cloud gaming: Stadia, GeForce Now and PSNow
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Abstract (arXiv)
Cloud gaming is a new class of services that promises to revolutionize the videogame market. It allows the user to play a videogame with basic equipment while using a remote server for the actual execution. The multimedia content is streamed through the network from the server to the user. This service requires low latency and a large bandwidth to work properly with low response time and high-definition video. Three of the leading tech companies, (Google, Sony and NVIDIA) entered this market with their own products, and others, like Microsoft and Amazon, are planning to launch their own platforms in the near future. However, these companies released so far little information about their cloud gaming operation and how they utilize the network. In this work, we study these new cloud gaming services from the network point of view. We collect more than 200 packet traces under different application settings and network conditions for 3 cloud gaming services, namely Stadia from Google, GeForce Now from NVIDIA and PS Now from Sony. We analyze the employed protocols and the workload they impose on the network. We find that GeForce Now and Stadia use the RTP protocol to stream the multimedia content, with the latter relying on the standard WebRTC APIs. They result in bandwidth-hungry and consume up to 45 Mbit/s, depending on the network and video quality. PS Now instead uses only undocumented protocols and never exceeds 13 Mbit/s.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Dec 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 3; 2024: 0; 2025: 1.
5 papers.
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- 2023NEPHELE: A Neural Platform for Highly Realistic Cloud Radiance Renderingcited by 0
- 2023Enabling Real-time Neural Recovery for Cloud Gaming on Mobile Devicescited by 0
- 2025Games Are Not Equal: Classifying Cloud Gaming Contexts for Effective User Experience Measurementcited by 0
- 2025Games Are Not Equal: Classifying Cloud Gaming Contexts for Effective User Experience Measurement24 Sep 2025
- 2023Enabling Real-time Neural Recovery for Cloud Gaming on Mobile Devices15 Jul 2023
- 2023NEPHELE: A Neural Platform for Highly Realistic Cloud Radiance Rendering7 Mar 2023
- 2023Video traffic identification with novel feature extraction and selection method6 Mar 2023
- 2021Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry18 Oct 2021