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Learn about a novel approach to optimizing cloud gaming streaming performance through this 17-minute conference presentation from NSDI '25. Discover how researchers from Beijing University of Posts and Telecommunications, Hong Kong University of Science and Technology, and Well-Link Times Inc. addressed critical issues in cloud gaming quality of experience through their comprehensive analysis of over 60,000 real-world gaming sessions. Explore the fundamental problems with current Forward Error Correction (FEC) encoding methods that lead to bandwidth wastage and interaction stalls due to coarse-grained approaches that fail to account for frame length variation. Understand the innovative Tooth system, which implements per-frame adaptive FEC encoding to achieve optimal balance between video quality and bandwidth efficiency. Examine the dual-module FEC encoding strategy that considers both frame length variation and network dynamics to determine appropriate redundancy rates for individual frames. Learn about the lightweight implementation designed to meet real-time cloud gaming latency requirements while circumventing computational overhead challenges. Review comprehensive field test results demonstrating significant improvements including 40.2% to 85.2% reduction in stall rates, 11.4% to 29.2% enhancement in video bitrates, and 54.9% to 75.0% reduction in bandwidth costs compared to existing state-of-the-art FEC methods.
