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Related Experiment Video

Updated: Jun 14, 2026

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

Inferring the background traffic arrival process in the Internet.

Péter Hága1, István Csabai, Gábor Vattay

  • 1Department of Physics of Complex Systems, Eötvös Loránd University, Budapest, Hungary. haga@complex.elte.hu

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|April 7, 2010
PubMed
Summary

Researchers identified a phase transition in network link congestion. They used packet train dispersion to infer background traffic arrival processes, crucial for understanding Internet dynamics.

Related Experiment Videos

Last Updated: Jun 14, 2026

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

Area of Science:

  • Network Science
  • Complex Systems
  • Internet Traffic Analysis

Background:

  • Complex networks exhibit phase transitions, but microscopic origins are often unclear.
  • Understanding Internet traffic arrival processes is vital for modeling network dynamics due to their self-similar nature.

Purpose of the Study:

  • To present the emergence of phase transition between congested and uncongested network link phases.
  • To demonstrate a method for inferring background traffic arrival processes using packet train techniques.

Main Methods:

  • Utilizing the packet train technique to determine properties of the traffic arrival process.
  • Introducing packet train stretch as an order parameter to characterize phase transitions.
  • Analyzing the sensitivity of packet train dispersion to network path congestion.

Main Results:

  • Packet train dispersion is sensitive to network congestion.
  • Packet train stretch effectively describes the phase transition between congested and uncongested states.
  • The distribution of background traffic arrival processes can be determined at the critical point via average packet train dispersion.

Conclusions:

  • A method is presented to observe and quantify phase transitions in network link congestion.
  • Packet train dispersion serves as a key indicator for inferring Internet traffic characteristics.
  • This work provides insights into the microscopic understanding of complex network behaviors.