Long-term power-law fluctuation in Internet traffic
Shin-ichi Tadaki
Abstract
Power-law fluctuation in observed Internet packet flow are discussed. The data is obtained by a multi router traffic grapher (MRTG) system for 9 months. The 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. Internet traffic can be understood as a daily periodic flow with power-law fluctuations.
Create a lesson
Related papers
Modelling the complex dynamics of online disinformation cascades
Guillermo Romero Moreno, Valentin Robu, Han La Poutré
A data-driven heuristic-ensemble method for behavioural inference in collective-risk dilemma experiments
Marc Sadurní, Martín F. Díaz, Josep Perelló et al.
Learning Social Influence with Unobserved Attention
William Thompson, Moyi Tian, Linh Huynh et al.
A Gauge-Invariant Clustering Coefficient for Complex-Weighted Bipartite Networks
Anjali Waghmare, Yu Tian, Renaud Lambiotte
Tracking High-Impact Researchers Through Highly Cited Tails
Hirushan Sajindra, Eoin Ó Colgáin
Breaking Behavioral Uniformity in Traffic Flow: Analytical Derivation and Numerical Verification of Optimal Cooperative Buffering
Raphael Korbmacher, Antoine Tordeux