Long-Term Power-Law Fluctuation in Internet Traffic

Long-term power-law fluctuation in Internet traffic

Scale-free properties of observed Internet packet flow are discussed. The data is obtained by a multi router traffic grapher (MRTG) system for 9 months. Internet packet flow is analyzed using the detrended fluctuation analysis. By extracting the average daily trend, the data shows clear power-law fluctuations. The exponents of the fluctuation for the incoming and outgoing flow are almost unity....

Se p 20 09 Taylor ’ s power law for fluctuation scaling in traffic ∗

In this article, we study transportation network in Minnesota. We show that the system is characterized by Taylor’s power law for fluctuation scaling with nontrivial values of the scaling exponent. We also show that the characteristic exponent does not unequivocally characterize a given road network, as it may differ within the same network if one takes into account location of observation poin...

Understanding the Long-Term Self-Similarity of Internet Traffic

Long range dependence in Internet backbone traffic

♣ This research was sponsored by WorldCom, Inc. Abstract—We report the first statistical analysis of Internet backbone traffic, based on traces with levels of aggregation 10 times larger and timestamp accuracy 1000 times better than in previous studies. We analyze the first three moments, marginal distributions and correlation structures of packet size, packet inter-arrival time, byte count and...

Power Law Modelling of Internet Topology

In recent years there have been tremendous efforts to measure, characterise and model the internet topology. We discuss why the power law degree distribution is not an artifact but an integral property of the internet. On the other hand we argue that while it is one of the properties that fundamentally characterise the global internet structure, other properties should also be considered to obt...