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Are Smaller Packets Less Likely to Be Lost?

机译:较小的数据包丢失的可能性较小吗?

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Despite growth in internet link capacities and the efforts of traffic engineers, packet loss continues to be a reality in today's internet. While many tools for active measurement of packet loss have been developed over the years, applying these tools to a particular operational network context in order to most accurately estimate loss characteristics has remained a challenge. In this paper we examine the problem of selecting a probe packet size for active loss measurement. Prior work has used either small (e.g., 40 byte) packets in order to minimize probing bandwidth, or larger (e.g., 1000 byte) packets in order to increase the likelihood that a probe will be lost if congestion is taking place along a path. We examine these rules of thumb in a systematic way through a series of controlled laboratory experiments. We find that a-perhaps the-key system parameter is whether network queue limits are specified in terms of packets or bytes. Our results suggest that if queue limits are specified in terms of packets, there may be no clear optimal probe packet size that yields the most accurate results. On the other hand, if queue limits are specified in bytes, a packet size chosen based on the average packet size of aggregate background traffic leads to the most accurate loss average estimate.
机译:尽管Internet链接容量不断增长,并且流量工程师付出了很多努力,但丢包仍然是当今Internet的现实。尽管多年来已经开发出许多主动测量丢包的工具,但是将这些工具应用于特定的操作网络环境以最准确地估计丢包特性仍然是一个挑战。在本文中,我们研究了为主动损耗测量选择探针包大小的问题。先前的工作要么使用较小的(例如40字节)分组以最小化探测带宽,要么使用较大的(例如1000字节)分组以增加如果沿着路径发生拥塞将丢失探针的可能性。我们通过一系列受控实验室实验以系统的方式检查这些经验法则。我们发现,也许-key系统参数是根据包还是字节指定网络队列限制。我们的结果表明,如果根据数据包指定队列限制,则可能没有清晰的最佳探测数据包大小来产生最准确的结果。另一方面,如果以字节为单位指定队列限制,则基于聚合后台流量的平均数据包大小选择的数据包大小将导致最准确的损耗平均估计。

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