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

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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

• Tipo de documento: Artigo Científico
• Fonte: 2023 IEEE 9TH INTERNATIONAL CONFERENCE ON NETWORK SOFTWARIZATION, NETSOFT; v. N/A, p. 3-pg., 2023-01-01.

Resumo

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)

• Processo FAPESP: 21/00199-8 - Redes e serviços inteligentes rumo 2030 (SMARTNESS)
• Beneficiário: Christian Rodolfo Esteve Rothenberg
• Modalidade de apoio: Auxílio à Pesquisa - Programa Centros de Pesquisa em Engenharia
• Processo FAPESP: 20/05183-0 - SkyNet: rumo à era dos planos de dados inteligentes
• Beneficiário: Luciano Paschoal Gaspary
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 21/06981-0 - Spinner: rumo à orquestração eficiente da inteligência em planos de dados programáveis
• Beneficiário: Marcelo Caggiani Luizelli
• Modalidade de apoio: Auxílio à Pesquisa - Regular