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Related Experiment Video

Updated: Mar 30, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Long-Range Correlations and Memory in the Dynamics of Internet Interdomain Routing.

Maksim Kitsak¹, Ahmed Elmokashfi², Shlomo Havlin³

¹Department of Physics, Northeastern University, Boston, MA, United States of America.

|November 4, 2015

Summary

This summary is machine-generated.

This study analyzes Border Gateway Protocol (BGP) update rates, finding their time series exhibit volatility and long-term memory. This characterization aids in developing improved internet routing models.

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Area of Science:

Computer Science
Network Engineering
Data Science

Background:

The Internet relies on Autonomous Systems (ASes) for data transfer.
Border Gateway Protocol (BGP) manages interdomain routing information exchange.
Internet growth raises concerns about BGP update scalability and routing efficiency.

Purpose of the Study:

To conduct a systematic time series analysis of BGP update rates.
To statistically characterize the dynamics of BGP update traffic.

Main Methods:

Time series analysis of BGP update data.
Statistical examination of update rate volatility and correlations.

Main Results:

BGP update time series are highly volatile.
Observed long-term correlations and memory effects in BGP updates.
BGP update dynamics resemble seismic and financial time series.

Conclusions:

The statistical properties of BGP updates present challenges for current routing models.
This characterization can inform the development of more robust internet routing solutions.
Understanding BGP update dynamics is crucial for future internet scalability.