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Performance Study of Large Block Forward Error Correction with Random Early Detection Queue Policy

机译:随机早期检测队列策略大块前向纠错的绩效研究

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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.
机译:在本文中,我们报告了随机早期检测(红色)排队策略的前向纠错(FEC)的性能调查。 FEC是一种使用冗余数据包重建丢弃的数据包的技术,而红色是一个有效的队列管理算法。它监视平均队列大小并下降到达数据包概率,随着估计的平均队列大小的增长,下降的概率增加。在调查中,我们考虑使用队列缓冲区的变化大小的模拟设置。从仿真实验获得的结果表明FEC和队列大小会影响网络的性能。因此,多媒体应用的质量也受到影响。

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