随机早期检测队列策略下的大数据块前向纠错性能研究

Omar Almomani, O. Ghazali, S. Hassan
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引用次数: 0

摘要

本文研究了随机早期检测(RED)队列策略下的前向纠错(FEC)性能。FEC是一种利用冗余包重构丢失包的技术,RED是一种主动队列管理算法。它监视平均队列大小并按概率丢弃到达的数据包,丢弃的概率随着估计的平均队列大小的增加而增加。在研究中,我们考虑了不同队列缓冲区大小的模拟设置。仿真实验结果表明,FEC和队列大小对网络性能有影响。因此,多媒体应用的质量也受到影响。
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Performance study of large block forward error correction with random early detection queue policy
In this paper, we report an investigation on performance of the forward error correction (FEC) with random early detection (RED) queuing policy. FEC is a technique that uses redundant packet to reconstruct the dropped packet, while RED is an active queue management algorithm. It monitors the average queue size and drops arriving packets probabilistically, the probability of drop increases as the estimated average queue size grows. In the investigation we consider simulation settings with varies size of the queue buffer. Results obtained from the simulation experiments show that FEC and queue size affect the performance the network. Consequently, the qualities of multimedia applications are also affected.
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