CGSynth: Cloud Gaming Synthesizer

Cloud gaming’s unique network traffic is challenging to reproduce for research. This demo introduces Cloud Gaming Synthe-sizer (CGSynth), a platform that generates realistic, configurable synthetic cloud gaming (CG) traffic. CGSynth captures real CGpatterns and allows their synthetic reproduction with user-defined flow/packet parameters and deterministic protocol headers. It employs a GRU for accurate, order-preserving timestamp generation and AI-based video interpolation for realistic payloads. Crucially, CGSynth integrates a QoE evaluation module using objective (e.g., SSIM) and subjective metrics (e.g., MOS) to validate synthetic traffic’s video quality and responsiveness against real streams.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-08
DOI
https://doi.org/10.5281/zenodo.16968173
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

CGSynth: Cloud Gaming Synthesizer

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

CGSynth: Cloud Gaming Synthesizer

article en

Abstract

Cloud gaming’s unique network traffic is challenging to reproduce for research. This demo introduces Cloud Gaming Synthe-sizer (CGSynth), a platform that generates realistic, configurable synthetic cloud gaming (CG) traffic. CGSynth captures real CGpatterns and allows their synthetic reproduction with user-defined flow/packet parameters and deterministic protocol headers. It employs a GRU for accurate, order-preserving timestamp generation and AI-based video interpolation for realistic payloads. Crucially, CGSynth integrates a QoE evaluation module using objective (e.g., SSIM) and subjective metrics (e.g., MOS) to validate synthetic traffic’s video quality and responsiveness against real streams.

Zenodo (CERN European Organization for Nuclear Research)
Universidade Federal de São Carlos (BR), Universidade Estadual de Campinas (UNICAMP) (BR), Universidade Federal do Pampa (BR)
Openalex Percentile: Top 63%
Geochemistry and Geologic Mapping
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