Self-Similar Characteristic of Traffic in Current Metro Area Network

Guangxin Zhang, Gaogang Xie, Jianhua Yang, Dunxing Zhang, Dafang Zhang
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引用次数: 11

Abstract

Complexity and diversity of Internet traffic are constantly growing. Networking researchers become aware of the need to constantly monitor and reevaluate their assumptions in order to ensure that the conceptual models correctly represent reality. Using the dataset collected by NetTurbo from three different bidirectional OC-48 links in metro area networks at the two biggest ISPs of China, this paper carefully investigates the self-similar characteristics of traffic from different aspects. In contrast to the previous results which have been widely accepted, this paper shows that for the aggregated traffic and the TCP and UDP traffic whether the self-similarity exists is uncertain. Further, break down by the application category, only the traditional and uncategorized traffic are self-similar while the others are not. However, on the view of the individual application of each category, it seems that traffic of every application exhibits self-similarity. To the best of our knowledge, this paper firstly provides the experimental evidence showing that aggregating different groups of self-similar traffic series could generate a traffic series which is either self-similar or non-self-similar.
当前城域网通信量的自相似特性
互联网流量的复杂性和多样性不断增长。网络研究人员意识到需要不断地监测和重新评估他们的假设,以确保概念模型正确地代表现实。本文利用NetTurbo收集的中国两大isp城域网中三个不同双向OC-48链路的数据集,从不同方面仔细研究了流量的自相似特征。与以往被广泛接受的结果相反,本文表明对于聚合流量和TCP、UDP流量是否存在自相似是不确定的。此外,按应用程序类别细分,只有传统和未分类的流量是自相似的,而其他流量则不是。然而,从每个类别的单个应用程序的角度来看,似乎每个应用程序的流量都表现出自相似性。据我们所知,本文首先提供了实验证据,表明聚合不同组的自相似流量序列可以生成自相似或非自相似的流量序列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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