Demo of QoEyes: Towards Virtual Reality Streaming QoE Estimation Entirely in the Data Plane

Author(s):Show less -

Vogt, Francisco ; Cesen, Fabricio Rodriguez ; de Castro, Ariel Goes ; Luizelli, Marcelo Caggiani ; Rothenberg, Christian Esteve ; Pongracz, Gergely ; Bernardos, CJ ; Martini, B ; Rojas, E ; Verdi, FL ; Zhu, Z ; Oki, E ; Parzyjegla, H

• Document type: Journal article
• Source: 2023 IEEE 9TH INTERNATIONAL CONFERENCE ON NETWORK SOFTWARIZATION, NETSOFT; v. N/A, p. 3-pg., 2023-01-01.

Abstract

Recent advances in 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. (AU)

• FAPESP's process: 21/00199-8 - SMART NEtworks and ServiceS for 2030 (SMARTNESS)
• Grantee: Christian Rodolfo Esteve Rothenberg
• Support Opportunities: Research Grants - Research Centers in Engineering Program
• FAPESP's process: 20/05183-0 - SkyNet: towards smart data planes
• Grantee: Luciano Paschoal Gaspary
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 21/06981-0 - Spinner: towards efficient orchestration of intelligence in programmable data planes
• Grantee: Marcelo Caggiani Luizelli
• Support Opportunities: Regular Research Grants