在基于分组的局域网中压缩数据流量

K. Pawlikowski, T. Bell, H. Emberson, P. Ashton
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引用次数: 2

摘要

抽象只给出;大体上如下。数据压缩通常用于提高电信系统的性能。在局域网中,如果网络传输数据的速度比计算机生成数据的速度慢,压缩技术可以帮助减少传输瓶颈。为了规划网络容量,网络设计者需要有准确的网络流量模型。在设计网络时,不仅要考虑流量的大小,还要考虑流量的性质。作者特别关注基于数据包的通信系统,以及压缩如何改变数据包大小的统计属性。他们还讨论了如何将自适应压缩用于造成严重同步困难的无连接协议。他们从一个实时网络中收集了大量数据,并使用几种不同的技术模拟了压缩数据的效果。计算了模拟系统的相关统计数据,从而将数据压缩描述为远程通信的随机变换。压缩可以通过减少数据包的大小和数量来提高基于数据包的网络的吞吐量。当应用于单个数据包时,不仅平均数据包大小减小,而且方差也减小。压缩有可能带来显著的性能改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compression of data traffic in packet-based LANs
Abstract only given; substantially as follows. Data compression is very commonly used to improve the performance of telecommunications systems. In local-area networks compression technology can help reduce transmission bottlenecks if the network transmits data slower than the computers can generate it. Network designers need to have accurate models of the network traffic in order to plan network capacity. When designing networks, one must take into account not only the amount of traffic, but also the nature of the traffic. The authors are particularly concerned with communication systems that are packet-based, and with how compression changes the statistical properties of packet sizes. They also discuss how adaptive compression can be used with connectionless protocols, which pose serious synchronization difficulties. They have collected large quantities of data from a live network, and have simulated the effect of compressing the data using several different techniques. Relevant statistics of the simulated system have been calculated, allowing to characterize data compression as a stochastic transformation of teletraffic. Compression can improve throughput in packet-based networks by decreasing the size and number of packets. When applied to individual packets, not only is the mean packet size reduced, but the variance also decreases. Compression has the potential to give significant performance improvements.
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