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Throughput Optimization in TCP with a Performance Enhancing Proxy

机译:使用性能增强代理的TCP中的吞吐量优化

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To improve TCP throughput performance, a method using a PEP (Performance Enhancing Proxy) has been proposed. The PEP operates on a router along a TCP connection. When a data packet arrives at the PEP, it forwards the packet to the destination host, transmits the corresponding ACK (premature ACK) to the source host in behalf of the destination host, and stores a copy of the packet into its own buffer (PEP buffer) in case retransmission of the packet is required. As a congestion control method on the PEP, a method which keeps the number of prematurely acknowledged packets in the PEP buffer below a threshold (watermark) value has been proposed. However, the relation between the watermark value and throughput is not sufficiently investigated, and an optimization method of the watermark value is not proposed. In this paper, we first investigate the relation between the watermark value and the average throughput. Extensive simulations show that the simulation results are roughly classified into two cases. In the first case, the average throughput becomes larger for larger watermark values and becomes a constant value when the watermark is over a certain value. In the second case, although the average throughput becomes larger for larger watermark values in the same way, it decreases when the watermark is over a certain value. Next, based on the results about the relation, we propose an watermark optimization algorithm which can adaptively maximize the average throughput of each connection and also satisfy a fairness condition that the average throughputs of connections are equal to each other.
机译:为了提高TCP吞吐量性能,已经提出了使用PEP(性能增强代理)的方法。 PEP通过TCP连接在路由器上运行。数据包到达PEP时,它将数据包转发到目标主机,代表目标主机将相应的ACK(过早ACK)发送到源主机,并将数据包的副本存储到其自己的缓冲区(PEP)中缓冲区)以防需要重传数据包。作为PEP上的拥塞控制方法,已经提出了一种将PEP缓冲器中的过早确认分组的数量保持在阈值(水印)值以下的方法。但是,没有充分研究水印值与吞吐量之间的关系,并且没有提出水印值的优化方法。在本文中,我们首先研究水印值与平均吞吐量之间的关系。大量的仿真表明,仿真结果大致分为两种情况。在第一种情况下,平均吞吐量对于较大的水印值会变大,并且在水印超过一定值时会变为恒定值。在第二种情况下,尽管以相同的方式,对于较大的水印值,平均吞吐量会变大,但是当水印超过一定值时,平均吞吐量会降低。接下来,基于关系的结果,我们提出了一种水印优化算法,该算法可以自适应地最大化每个连接的平均吞吐量,并满足连接的平均吞吐量彼此相等的公平条件。

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