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A Novel Multiple Time Scale Congestion Control Scheme for Multimedia Traffic

机译:多媒体流量的一种新型多时间尺度拥塞控制方案

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A novel two time scale congestion control scheme is proposed in this paper, which is called Adaptive Wavelet and Probability-based scheme (AWP). On normal time scales of 20-200 ms, it is a smooth and TCP-friendly congestion control; on large time scales of 1-5 second, it detects persistent shifts in overall network contention and modulates the rate control exhibited on normal scale. AWP exploits self-similar property of network traffic and predicts future network available bandwidth to enhance performance, and it is adaptive to network environment changes through an auto-correction algorithm. With comparable experiments among TFRC, TCP and AWP over NS platform, AWP has been proved to be able to greatly improve the quality of service(QoS) of multimedia data transmission while avoiding congestion collapse on the network.
机译:本文提出了一种新型两个时间级拥塞控制方案,称为自适应小波和基于概率的方案(AWP)。 在20-200毫秒的正常时间尺度上,它是一种平滑和TCP友好的拥塞控制; 在1-5秒的大型时间尺度上,它检测到整体网络争用中的持久转移,并调制正常规模上呈现的速率控制。 AWP利用网络流量的自我相似性,并预测未来的网络可用带宽来增强性能,并且通过自动校正算法自动改变网络环境。 通过TFRC,TCP和AWP之间的可比实验,已证明AWP能够大大提高多媒体数据传输的服务质量(QoS),同时避免网络上的拥塞崩溃。

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