Tooth: Toward Optimal Balance of Video QoE and Redundancy Cost by Fine-Grained FEC in...

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" summary

Paper analyzes over 60,000 cloud gaming sessions and finds coarse-grained FEC both over-protects large frames (wasting bandwidth) and under-protects small frames (causing stalls). It builds Tooth, a per-frame adaptive FEC with a dual-module FEC encoding (a fast lightweight ML mapper plus a long-timescale pattern updater) and deploys it in an operational system. Field tests show stall rates fall 40.2–85.2%, video bitrate rises 11.4–29.2%, and bandwidth cost drops 54.9–75.0%.

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" chapters (12)

1. 0:00Introduction
2. 1:01Latency requirements
3. 2:47Packet loss handling
4. 4:13Overprotection in FEC
5. 6:19Confidence intervals for redundancy
6. 7:44Variable frame sizes impact
7. 9:29Frame-level loss distribution
8. 11:35Fine-grained FEC per frame
9. 12:58Modeling loss patterns
10. 14:04Implementation and evaluation
11. 15:10Performance comparison
12. 16:14Conclusion

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