快速:在任意网络拓扑上实现低延迟多方会议

Xiangwen Chen, Minghua Chen, Baochun Li, Yao Zhao, Yunnan Wu, Jin Li
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引用次数: 11

摘要

在本文中,我们试图从实践的角度重新审视多方会议的问题,并重新思考这个问题所涉及的设计空间。我们认为,必须强调会议中任何双方之间的低端到端延迟,并且会话中的源发送速率应适应带宽可用性和拥塞。我们介绍了Celerity,一个专门为实现我们的目标而设计的多方会议解决方案。它完全是点对点(P2P),因此消除了维护集中管理服务器的成本。它旨在以低端到端延迟传输视频,其质量水平与任意网络拓扑中的可用网络资源相称,而网络中的瓶颈可能在任何地方。这与通常假设的P2P场景相反,在P2P场景中,带宽瓶颈只存在于网络的边缘。我们设计的重点是分布式和自适应速率控制协议,它可以快速发现和适应任意拓扑和网络条件,收敛到底层网络允许的有效链路速率分配。根据自适应链路速率控制,源视频编码速率也被动态控制,以在任意和不可预测的网络条件下呈现尽可能最佳的视频质量。我们已经在一个原型系统中实现了celity,并在一个本地实验平台上验证了其优越的性能。
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Celerity: towards low-delay multi-party conferencing over arbitrary network topologies
In this paper, we attempt to revisit the problem of multi-party conferencing from a practical perspective, and to rethink the design space involved in this problem. We believe that an emphasis on low end-to-end delays between any two parties in the conference is a must, and the source sending rate in a session should adapt to bandwidth availability and congestion. We present Celerity, a multi-party conferencing solution specifically designed to achieve our objectives. It is entirely Peer-to-Peer (P2P), and as such eliminating the cost of maintaining centrally administered servers. It is designed to deliver video with low end-to-end delays, at quality levels commensurate with available network resources over arbitrary network topologies where bottlenecks can be anywhere in the network. This is in contrast to commonly assumed P2P scenarios where bandwidth bottlenecks reside only at the edge of the network. The highlight in our design is a distributed and adaptive rate control protocol, that can discover and adapt to arbitrary topologies and network conditions quickly, converging to efficient link rate allocations allowed by the underlying network. In accordance with adaptive link rate control, source video encoding rates are also dynamically controlled to present the best possible video quality in arbitrary and unpredictable network conditions. We have implemented Celerity in a prototype system and demonstrate its superior performance in a local experimental testbed.
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