On the complexity of Internet traffic dynamics on its topology

被引:0
|
作者
Steve Uhlig
机构
[1] Technische Universität Berlin,Deutsche Telekom Laboratories
来源
Telecommunication Systems | 2010年 / 43卷
关键词
Internet traffic; Topology; PCA; Multi-resolution analysis;
D O I
暂无
中图分类号
学科分类号
摘要
Most studies of Internet traffic rely on observations from a single link. The corresponding traffic dynamics has been studied for more than a decade and is well understood. The study of how traffic on the Internet topology, on the other hand, is poorly understood and has been largely limited to the distribution of traffic among source-destination pairs inside the studied network, also called the traffic matrix. In this paper, we make a first step towards understanding the way traffic gets distributed onto the whole topology of the Internet. For this, we rely on the traffic seen by a transit network, for a period of more than a week. As we are still at the stage of understanding the topological traffic distribution, we do not try to model the traffic dynamics. Rather we concentrate on understanding the complexity of describing the traffic observed by a transit network, how it maps onto the AS-level topology of the Internet and how it changes over time. For this, we rely on well-known tools of multi-variate analysis and multi-resolution analysis.
引用
收藏
页码:167 / 180
页数:13
相关论文
共 50 条
  • [1] On the complexity of Internet traffic dynamics on its topology
    Uhlig, Steve
    TELECOMMUNICATION SYSTEMS, 2010, 43 (3-4) : 167 - 180
  • [2] The many facets of Internet topology and traffic
    Alderson, D.
    Chang, H.
    Roughan, M.
    Uhlig, S.
    Willinger, W.
    NETWORKS AND HETEROGENEOUS MEDIA, 2006, 1 (04) : 569 - 600
  • [3] Modeling Internet topology dynamics
    Haddadi, Hamed
    Uhlig, Steve
    Moore, Andrew
    Mortier, Richard
    Rio, Miguel
    ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, 2008, 38 (02) : 65 - 68
  • [4] Understanding the evolution dynamics of internet topology
    Zhou, Shi
    PHYSICAL REVIEW E, 2006, 74 (01):
  • [5] Network topology facilitates internet traffic control in autocracies
    Keremoglu, Eda
    Weidmann, Nils B.
    Gamero-Garrido, Alexander
    Carisimo, Esteban
    Dainotti, Alberto
    Snoeren, Alex C.
    PNAS NEXUS, 2024, 3 (03):
  • [6] Complexity in economic networks: From topology to dynamics
    Jin, Yu Ying
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2007, 14 (05): : 695 - 704
  • [7] On the Chaotic Dynamics Analysis of Internet Traffic
    Cai, Liangbin
    Li, Hui
    Chen, Bo
    Wang, Jian
    2009 INTERNATIONAL WORKSHOP ON CHAOS-FRACTALS THEORIES AND APPLICATIONS (IWCFTA 2009), 2009, : 361 - 364
  • [8] On the Chaotic Dynamics Analysis of Internet Traffic
    Fu, Chong
    Jiang, Hui-yan
    INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL 2, PROCEEDINGS, 2008, : 840 - +
  • [9] Fluctuation-driven dynamics of the Internet topology
    Goh, KI
    Kahng, B
    Kim, D
    PHYSICAL REVIEW LETTERS, 2002, 88 (10) : 4 - 108701
  • [10] Topology aware Internet traffic forecasting using Neural Networks
    Cortez, Paulo
    Rio, Miguel
    Sousa, Pedro
    Rocha, Miguel
    ARTIFICIAL NEURAL NETWORKS - ICANN 2007, PT 2, PROCEEDINGS, 2007, 4669 : 445 - +