CGReplay: Capture and Replay of Cloud Gaming Traffic for QoE/QoS Assessment
Alireza Shirmarz, Ariel G. de Castro, Fabio L. Verdi, Christian E. Rothenberg

TL;DR
CGReplay provides a method to accurately capture and replay cloud gaming traffic, enabling reproducible QoE/QoS assessments despite the challenges posed by proprietary game engines and limited access to platform logs.
Contribution
It introduces a system that captures synchronized player commands and video frames for reproducible cloud gaming experiments, facilitating fair evaluation under different network conditions.
Findings
Enables reproducible QoE/QoS assessment in cloud gaming
Captures synchronized commands and video frames for replay
Supports evaluation under varying network conditions
Abstract
Cloud Gaming (CG) research faces challenges due to the unpredictability of game engines and restricted access to commercial platforms and their logs. This creates major obstacles to conducting fair experimentation and evaluation. CGReplay captures and replays player commands and the corresponding video frames in an ordered and synchronized action-reaction loop, ensuring reproducibility. It enables Quality of Experience/Service (QoE/QoS) assessment under varying network conditions and serves as a foundation for broader CG research. The code is publicly available for further development.
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Taxonomy
TopicsImage and Video Quality Assessment · Peer-to-Peer Network Technologies · IoT and Edge/Fog Computing
