Distributed adaptation algorithms for rate-controlled video multicast over shared infrastructure networks

M. Rabby, K. Ravindran, Jun Wu
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引用次数: 7

Abstract

We consider a wide-area video conferencing application where the video sources can adapt their send rates according to the available bandwidth in the network paths. We advocate a joint rate control of the sources to relieve the congestion, instead of running multiple instances of a single-source adaptation algorithm and additively superposing their results. The existing techniques work nicely with single-source trees, but do not work optimally in the case of multi-source trees with shared QoS goals. Using the well-known AIMD-based adaptation procedures, we incorporate the topology inferencing mechanism into a coordinated rate adaptation algorithm executed by the loss-experiencing sources. The paper provides a simulation based evaluation of our algorithm to corroborate the benefits.
共享基础设施网络上速率控制视频多播的分布式自适应算法
我们考虑了一个广域视频会议应用,其中视频源可以根据网络路径中的可用带宽调整其发送速率。我们主张对源进行联合速率控制以缓解拥塞,而不是运行多个实例的单源自适应算法并将其结果相加叠加。现有的技术可以很好地处理单源树,但在具有共享QoS目标的多源树的情况下不能最佳地工作。利用著名的基于aimd的自适应过程,我们将拓扑推理机制融入到由损失经历源执行的协调速率自适应算法中。本文提供了一个基于仿真的算法评估,以证实我们的算法的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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