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Packet reordering in networks with heavy-tailed delays

机译:具有重尾延迟的网络中的数据包重新排序

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An important characteristic of any TCP connection is the sequencing of packets within that connection. Out-of sequence packets indicate that the connection suffers from loss, duplication or reordering. More generally, in many distributed applications information integrity requires that data exchanges between different nodes of a system be performed in a specific order. However, due to random delays over different paths in a system, the packets may arrive at the receiver in a different order than their chronological order. In such a case, a resequencing buffer at the receiver has to store disordered packets temporarily. We analyze both the waiting time of a packet in the resequencing buffer and the size of this resequencing queue. We derive the exact asymptotics for the large deviation of these quantities under heavy-tailed assumptions. In contrast with results obtained for light-tailed distributions, we show that there exists several "typical paths" that lead to the large deviation. We derive explicitly these different "typical paths" and give heuristic rules for an optimal balancing.
机译:任何TCP连接的一个重要特征是该连接内数据包的排序。乱序数据包表明连接遭受丢失,重复或重新排序。更一般而言,在许多分布式应用程序中,信息完整性要求以特定顺序执行系统不同节点之间的数据交换。但是,由于系统中不同路径上的随机延迟,数据包可能以与它们的时间顺序不同的顺序到达接收器。在这种情况下,接收器处的重新排序缓冲区必须临时存储混乱的数据包。我们分析了重排序缓冲区中数据包的等待时间以及此重排序队列的大小。在重尾假设下,我们得出这些量的较大偏差的精确渐近线。与针对轻尾分布获得的结果相反,我们表明存在多个导致较大偏差的“典型路径”。我们明确推导这些不同的“典型路径”,并给出启发式规则以实现最佳平衡。

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