Does the Internet Still Demonstrate Fractal Nature?

G. Terdik, T. Gyires
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引用次数: 15

Abstract

The self-similar nature of bursty Internet traffic has been investigated for the last decade. A first generation of papers, approximately from 1994 to 2004, argued that the traditionally used Poisson models oversimplified the characteristics of network traffic and were not appropriate for modeling bursty, local-area, and wide-area network traffic. Since 2004, a second generation of papers has challenged the suitability of these results in networks of the new century and has claimed that the traditional Poisson-based and other models are still more appropriate for characterizing today’s Internet traffic. A possible explanation was that as the speed and amount of Internet traffic grow spectacularly, any irregularity of the network traffic, such as self-similarity, might cancel out as a consequence of high-speed optical connections, new communications protocols, and the vast number of multiplexed flows. These papers analyzed traffic traces of Internet backbone collected in 2003. In one of our previous papers we applied the theory of smoothly truncated Levy flights and the linear fractal model in examining the variability of Internet traffic from self-similar to Poisson. We demonstrated that the series of interarrival times was still close to a self-similar process, but the burstiness of the packet lengths decreased significantly compared to earlier traces. Since then, new traffic traces have been made public, including ones captured from the Internet backbone in 2008. In this paper we analyze these traffic traces and apply our new analytical methods to illustrate the tendency of Internet traffic burstiness. Ultimately, we attempt to answer the question: Does the Internet still demonstrate fractal nature?
互联网仍然表现出分形性质吗?
在过去的十年里,人们一直在研究突发互联网流量的自相似特性。大约从1994年到2004年的第一代论文认为,传统使用的泊松模型过于简化了网络流量的特征,不适合模拟突发、局部和广域网络流量。自2004年以来,第二代论文对这些结果在新世纪网络中的适用性提出了挑战,并声称传统的基于泊松的模型和其他模型仍然更适合描述今天的互联网流量。一种可能的解释是,随着互联网流量的速度和数量惊人地增长,任何不规律的网络流量,比如自相似性,都可能由于高速光学连接、新的通信协议和大量的多路复用流而被抵消。本文分析了2003年收集的互联网骨干网的流量轨迹。在我们之前的一篇论文中,我们应用了平滑截断利维飞行理论和线性分形模型来研究互联网流量从自相似到泊松的可变性。我们证明了到达间隔时间序列仍然接近自相似过程,但与早期的跟踪相比,数据包长度的突发性显著降低。从那以后,新的流量痕迹被公开,包括2008年从互联网主干捕获的流量痕迹。本文对这些流量轨迹进行了分析,并应用新的分析方法来说明互联网流量爆发的趋势。最终,我们试图回答这样一个问题:互联网是否仍然表现出分形的本质?
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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