Demo of QoEyes: Towards Virtual Reality Streaming QoE Estimation Entirely in the Data Plane
Authors/Creators
Contributors
Description
Recent advances in virtual reality (VR) technology have created new user experiences (e.g., online events, gaming). However, ensuring the user experience is still a challenge. Mostly because Quality of Experience (QoE) measurement is limited to the user or control plane, causing high latencies for different scenarios (e.g., 5G networks and beyond). To address this challenge, we present QoEyes, an in-network QoE estimation technique based on Inter-Packet-Gap (IPG) measured in programmable devices. Our results show that a strong estimate of the user’s QoE can be provided by measuring the IPG on the data plane. Additionally, in this demonstration, we show this QoE estimate and other related metrics in real time, using a Grafana dashboard running in our monitoring server.
Files
QoEyes_Netsoft_2023___Demo__FINAL_VERSION_.pdf
Files
(2.1 MB)
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Additional details
Identifiers
Dates
- Available
-
2023-07-13
Software
- Repository URL
- https://github.com/intrig-unicamp/QoEyes
- Programming language
- P4
- Development Status
- Active