基于预测路径损失率的实时多路径转发算法

Cai Ling, Jinkuan Wang, Cuirong Wang
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引用次数: 0

摘要

在分组交换网络中,实时流应用程序(如IP语音(VoIP))的交付基于将流划分为数据包,并将每个数据包单独传输到目的地。为了研究分组分散对VoIP应用质量的影响,我们重点研究了丢包率对VoIP应用质量的影响,并基于预测路径丢失率(PPLR)的概念,提出了一个将某个会话的分组分散在多条路径上的模型。提出的PPLR策略需要动态预测所有可用网络路径上的损失水平。然后,这些预测信息被用作输入,以调整下一个预测期的分配比例。仿真结果表明,本文提出的PPLR转发策略具有明显优于ECMP的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Multipath Forwarding Algorithm Based-On Predictive Path Loss Rate for Real-Time Application
Delivery of real time streaming applications, such as voice over IP (VoIP), in packet switched networks is based on dividing the stream into packets and transferring each of the packets on an individual basis to the destination. To study the effect of packet dispersion on the quality of VoIP applications, we focus on the effect of the packet loss rate on the applications, and present a model in which packets of a certain session are dispersed over multiple paths based on the concept of predictive path loss rate (PPLR). The proposed PPLR strategy requires the dynamic prediction of loss levels over all available network paths. This predictive information is then used as an input to adjust the allocation proportion for next prediction period. Through simulations, we show that the proposed PPLR forwarding strategy provides significantly better performance than ECMP.
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