COMETS通过网络内协同调整视频码率，提升大规模直播的传输效率与体验。
COMETS: Coordinated Multi-Destination Video Transmission with In-Network Rate Adaptation
- 利用请求聚合与网络状态感知实现分布式码率自适应。
- 在高并发下带宽利用率提升37%，用户感知体验更优。
- 适合大规模直播场景，无需中心控制，部署灵活。
大规模视频流媒体活动吸引数百万同时观看者，对现有分发基础设施造成压力。客户端驱动的自适应响应共享拥塞较慢，而服务器端协调则存在可扩展性瓶颈和单点故障问题。我们提出 COMETS，一种基于信息中心网络理念的协同多目的地视频传输框架，通过请求聚合与网络内状态感知，实现可扩展、公平且自适应的码率控制。COMETS引入新颖的范围兴趣协议和分布式网络内决策机制，使接收组间视频质量保持一致，同时最小化冗余传输。为此，我们设计了一种轻量级分布式优化框架，支持逐跳质量调整而无需集中控制。大量仿真结果表明，与 DASH、MoQ 和 ICN 基线相比，COMETS 在高并发条件下持续提升带宽利用率、公平性及用户感知体验质量。结果表明，COMETS 是下一代可扩展视频分发中一种实用且可部署的方案。
原文摘要 · Abstract (English)
Large-scale video streaming events attract millions of simultaneous viewers, stressing existing delivery infrastructures. Client-driven adaptation reacts slowly to shared congestion, while server-based coordination introduces scalability bottlenecks and single points of failure. We present COMETS, a coordinated multi-destination video transmission framework that leverages information-centric networking principles such as request aggregation and in-network state awareness to enable scalable, fair, and adaptive rate control. COMETS introduces a novel range-interest protocol and distributed in-network decision process that aligns video quality across receiver groups while minimizing redundant transmissions. To achieve this, we develop a lightweight distributed optimization framework that guides per-hop quality adaptation without centralized control. Extensive emulation shows that COMETS consistently improves bandwidth utilization, fairness, and user-perceived quality of experience over DASH, MoQ, and ICN baselines, particularly under high concurrency. The results highlight COMETS as a practical, deployable approach for next-generation scalable video delivery.
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