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. 5-pg., 2023-01-01.

Resumo

In recent years, advances in virtual reality (VR) technologies (e.g., high-quality VR headsets) have enabled a new perspective of experiences for users (e.g., gaming, online events). However, ensuring the user experience is still a challenge. Existing solutions are limited to measuring and estimating QoE at the user plane (e.g., VR player) or at the control plane, imposing unfeasible latency for different scenarios (5G networks and beyond). In this work, we propose QoEyes, an in-network QoE estimation based on the use of Inter-Packet-Gap (IPG) in programmable devices. Our results show that the IPG measured on the data plane is strongly linked to QoE, yielding an accurate data plane QoE estimate. (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