CGSynth: Cloud Gaming Synthesizer
Cloud gaming's unique network traffic is challenging to reproduce for research. This demo introduces Cloud Gaming Synthesizer (CGSynth), a platform that generates realistic, configurable synthetic cloud gaming (CG) traffic. CGSynth captures real CG patterns 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
Authors
- Fábio L. Verdi (ORCID: https://orcid.org/0000-0002-5455-8910)
- Ariel Góes De Castro (ORCID: https://orcid.org/0000-0002-5391-5082)
- Marcelo Caggiani Luizelli (ORCID: https://orcid.org/0000-0003-0537-3052)
- Alireza Shirmarz (ORCID: https://orcid.org/0000-0003-4296-0002)
- Christian Esteve Rothenberg (ORCID: https://orcid.org/0000-0003-3109-4305)
- Victor H. S. Lopes (ORCID: https://orcid.org/0009-0003-2335-2973)
Institutions
- Universidade Federal de São Carlos (BR)
- Universidade Estadual de Campinas (UNICAMP) (BR)
- Hospital de Clínicas da Unicamp (BR)
- Universidade Federal do Pampa (BR)
- Sirris (BE)
Publication Details
- Published
- 2025-09-08
- DOI
- https://doi.org/10.1145/3744969.3748445
- Primary Topic
- Advanced Steganography and Watermarking Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00