Bassbouss, LouayLouayBassboussZoubarev, AlexanderAlexanderZoubarevSteglich, StephanStephanSteglichArbanowski, StefanStefanArbanowskiPogrzeba, PeterPeterPogrzeba2024-04-092024-04-092024-02https://publica.fraunhofer.de/handle/publica/46590510.1145/3638036.3640808This paper presents a comprehensive testbed designed for evaluating remote rendering performance in the evolving Metaverse, with a specific emphasis on motion-to-photon (MTP) and click-to-photon (CTP) latencies. Leveraging popular game engines like Unity and Unreal Engine, the study explores diverse metrics for evaluating the performance of rendering and streaming 3D experiences. Utilizing Docker containers for streamlined deployment across various platforms, the research addresses the critical challenge of minimizing End-to-End latency while preserving image quality. An innovative measurement approach employing external cameras autonomously captures MTP and CTP latencies, providing a detailed understanding of the user experience. The dedicated framework and application facilitate the correlation of these latency metrics with other programmatically captured measurements, including bitrates, Round-Trip Time (RTT), and hardware performance. This focused evaluation contributes valuable insights into remote rendering performance, particularly in achieving low-latency experiences essential for the seamless integration of complex 3D content within the Metaverse.enClick-to-Photon LatencyMetaverseMotion-to-Photon LatencyReal-Time StreamingRemote Renderingconference paper