自生成自相似流量
Self-generated Self-similar Traffic
摘要：
网络流量的自相似性从几个方面进行了研究：无论是在用户侧还是在网络侧，都有许多长距离相关的来源。最近一些动力学的起源也被确定：TCP自适应拥塞避免算法本身可以产生混沌和长期依赖的吞吐量行为，如果丢失率很高。在本文中，我们发现有一个紧密的联系之间的静态和动态的起源的自相似性：并行TCP可以产生自相似性本身，他们可以引入严重的波动到背景流量，并产生高的有效丢失率造成长距离依赖的TCP流，但丢包率低。
英文摘要：
Self-similarity in the network traffic has been studied from several aspects: both at the user side and at the network side there are many sources of the long range dependence. Recently some dynamical origins are also identified: the TCP adaptive congestion avoidance algorithm itself can produce chaotic and long range dependent throughput behavior, if the loss rate is very high. In this paper we show that there is a close connection between the static and dynamic origins of self-similarity: parallel TCPs can generate the self-similarity themselves, they can introduce heavily fluctuations into the background traffic and produce high effective loss rate causing a long range dependent TCP flow, however, the dropped packet ratio is low.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
