Capturing Internet Traffic Dynamics through Graph Distances

Steve Uhlig; Bingjie Fu; Almerima Jamakovic

Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009, Revised Papers, Part 2

Research Article

Capturing Internet Traffic Dynamics through Graph Distances

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@INPROCEEDINGS{10.1007/978-3-642-02469-6_3,
    author={Steve Uhlig and Bingjie Fu and Almerima Jamakovic},
    title={Capturing Internet Traffic Dynamics through Graph Distances},
    proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009, Revised Papers, Part 2},
    proceedings_a={COMPLEX PART 2},
    year={2012},
    month={5},
    keywords={Internet traffic AS topology graph distance multi-resolution analysis},
    doi={10.1007/978-3-642-02469-6_3}
}

Steve Uhlig
Bingjie Fu
Almerima Jamakovic
Year: 2012
Capturing Internet Traffic Dynamics through Graph Distances
COMPLEX PART 2
Springer
DOI: 10.1007/978-3-642-02469-6_3

Steve Uhlig¹^,*, Bingjie Fu²^,*, Almerima Jamakovic³^,*

1: TU Berlin/Deutsche Telekom labs
2: Delft University of Technology
3: TNO ICT

*Contact email: steve@net.t-labs.tu-berlin.de, B.Fu@tudelft.nl, almerima.jamakovic@tno.nl

Abstract

Studies of the Internet have typically focused either on the routing system, i.e. the paths chosen to reach a given destination, or on the evolution of traffic on a physical link. In this paper, we combine routing and traffic, and study for the first time the evolution of the traffic on the Internet topology. We rely on the traffic and routing data of a large transit provider, spanning almost a month.

Keywords: Internet traffic AS topology graph distance multi-resolution analysis

Published: 2012-05-11

: http://dx.doi.org/10.1007/978-3-642-02469-6_3

Capturing Internet Traffic Dynamics through Graph Distances

Abstract

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