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Adaptive multicast of multi-layered video: rate-based and credit-based approaches

机译:多层视频的自适应多播:基于速率和基于信用的方法

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Network architectures that can efficiently transport high quality, multicast video are rapidly becoming a basic requirement of emerging multimedia applications. The main problem complicating multicast video transport is variation in network bandwidth constraints. An attractive solution to this problem is to use an adaptive, multi-layered video encoding mechanism. We consider two such mechanisms for the support of video multicast; one is a rate-based mechanism that relies on explicit rate congestion feedback from the network, and the other is a credit-based mechanism that relies on hop-by-hop congestion feedback. The responsiveness, bandwidth utilization, scalability and fairness of the two mechanisms are evaluated through simulations. Results suggest that while the two mechanisms exhibit performance trade-offs, both are capable of providing a high quality video service in the presence of varying bandwidth constraints.
机译:可以有效传输高质量多播视频的网络体系结构正迅速成为新兴多媒体应用程序的基本要求。使多播视频传输复杂化的主要问题是网络带宽约束的变化。解决此问题的一种有吸引力的方法是使用自适应的多层视频编码机制。我们考虑了两种支持视频多播的机制:一种是基于速率的机制,它依赖于来自网络的显式速率拥塞反馈,另一种是基于信用的机制,它依赖于逐跳的拥塞反馈。通过仿真评估了这两种机制的响应度,带宽利用率,可伸缩性和公平性。结果表明,尽管这两种机制都表现出性能之间的取舍,但在存在变化的带宽限制的情况下,两种机制都能够提供高质量的视频服务。

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