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The war between mice and elephants

机译:小鼠和大象之间的战争

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摘要

Recent measurement based studies reveal that most of the Internet connections are short in terms of the amount of traffic they carry (mice), while a small fraction of the connections are carrying a large portion of the traffic (elephants). A careful study of the TCP protocol shows that without help from an Active Queue Management (AQM) policy, short connections tend to lose to long connections in their competition for bandwidth. This is because short connections do not gain detailed knowledge of the network state, and therefore they are doomed to be less competitive due to the conservative nature of the TCP congestion control algorithm. Inspired by the Differentiated Services (Diffrerv) architecture, we propose to give preferential treatment to short connections inside the bottleneck queue, so that short connections experience less packet drop rate than long connections. This is done by employing the RIO (RED with In and Out) queue management policy which uses different drop functions for different classes of traffic. Our simulation results show that: (1) in a highly loaded network, preferential treatment is necessary to provide short TCP connections with better response time and fairness without hurting the performance of long TCP connections; (2) the proposed scheme still delivers packets in FIFO manner at each link, thus it maintains statistical multiplexing gain and does not misorder packets; (3) choosing a smaller default initial timeout value for TCP can help enhance the performance of short TCP flows, however not as effectively as our scheme and at the risk of congestion collapse; (4) in the worst case, our proposal works as well as a regular RED scheme, in terms of response time and goodput.
机译:最近的基于测量的研究表明,大多数互联网连接就携带的流量量(小鼠)而言,而这些连接的一小部分是携带大部分交通(大象)。对TCP协议的仔细研究表明,没有有效队列管理(AQM)策略的帮助,短连接往往会在带宽竞争中丢失长期连接。这是因为短连接没有获得网络状态的详细知识,因此由于TCP拥塞控制算法的保守性质,它们被注定为不太竞争力。灵感来自差异化服务(DiffRerv)架构,我们建议对瓶颈队列内部的短连接提供优先处理,使得短连接经验比长连接更少的数据包跌落率。这是通过使用RIO(RIO与IN和OUT)队列管理策略来完成的,该队员管理策略使用不同的流量的不同丢弃功能。我们的仿真结果表明:(1)在高负载网络中,优先处理是提供短的TCP连接,以便更好的响应时间和公平,而不会损害长TCP连接的性能; (2)所提出的方案在每个链接处仍以FIFO方式以FIFO方式提供数据包,因此它保持统计多路复用增益并且不会误报包; (3)选择TCP的较小默认初始超时值可以帮助提高短TCP流的性能,但不如我们的方案和充血崩溃的风险; (4)在最坏的情况下,我们的提案以及响应时间和良品方面的常规红色计划。

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