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arXiv 0810.1226cs.NIcond-mat.stat-mech
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计算机网络的流量动力学

Traffic Dynamics of Computer Networks

Attila Fekete

摘要:

因特网的两个重要方面,即其拓扑结构的性质和其数据流量的特性,吸引了物理学界越来越多的关注。我的论文考虑了这两方面的问题。首先,我研究了TCP的随机行为,在当前的互联网流量的主要算法,在一个基本的网络场景组成的一个独立的无限大小的缓冲区和访问链路。快速恢复和快速重传(FR/FR)算法的影响也被考虑。我表明,我的模型可以进一步扩展到包括链路传播延迟的影响,广域网的特点。我继续我的论文与调查有限大小的半瓶颈缓冲区,其中数据包可以被丢弃,不仅在链路上,但也在缓冲区。我证明了系统的行为只取决于参数的特定组合。此外,推导出一个解析公式,给出了在缓冲区的分组丢失率的总分组丢失率的比例。这个公式使得有可能把缓冲器损耗当作链路损耗来处理。最后,我从结构的角度研究了计算机网络。我通过流体模拟证明了资源的分布,特别是链路带宽,对网络的全局性能有严重的影响。然后,我分析了在一个不断增长的无标度树的条件下,一个本地的属性,“年轻”节点的任意边的度,是已知的,以找到一个最佳的分配链路容量的边介数的分布。推导出的公式是精确的,即使是有限大小的网络。我还计算了边介数的条件期望,并对无限网络进行了重新缩放。

英文摘要:

Two important aspects of the Internet, namely the properties of its topology and the characteristics of its data traffic, have attracted growing attention of the physics community. My thesis has considered problems of both aspects. First I studied the stochastic behavior of TCP, the primary algorithm governing traffic in the current Internet, in an elementary network scenario consisting of a standalone infinite-sized buffer and an access link. The effect of the fast recovery and fast retransmission (FR/FR) algorithms is also considered. I showed that my model can be extended further to involve the effect of link propagation delay, characteristic of WAN. I continued my thesis with the investigation of finite-sized semi-bottleneck buffers, where packets can be dropped not only at the link, but also at the buffer. I demonstrated that the behavior of the system depends only on a certain combination of the parameters. Moreover, an analytic formula was derived that gives the ratio of packet loss rate at the buffer to the total packet loss rate. This formula makes it possible to treat buffer-losses as if they were link-losses. Finally, I studied computer networks from a structural perspective. I demonstrated through fluid simulations that the distribution of resources, specifically the link bandwidth, has a serious impact on the global performance of the network. Then I analyzed the distribution of edge betweenness in a growing scale-free tree under the condition that a local property, the in-degree of the "younger" node of an arbitrary edge, is known in order to find an optimum distribution of link capacity. The derived formula is exact even for finite-sized networks. I also calculated the conditional expectation of edge betweenness, rescaled for infinite networks.

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。

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