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Structural Analysis of Network Traffic Flows (2003)  (Make Corrections)  (9 citations)
Anukool Lakhina, Konstantina Papagiannaki, Mark Crovella, Christophe Diot,...



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Abstract: Network traffic arises from the superposition of Origin-Destination (OD) flows. Hence, a thorough understanding of OD flows is essential for modeling network traffic, and for addressing a wide variety of problems including traffic engineering, traffic matrix estimation, capacity planning, forecasting and anomaly detection. However, to date, OD flows have not been closely studied, and there is very little known about their properties. (Update)

Cited by:   More
Traffic Matrix Reloaded: Impact of Routing Changes - Teixeira, Duffield.. (2005)   (Correct)
Sparse Approximations for High Fidelity Compression.. - Aiello, Gilbert.. (2005)   (Correct)
Diagnosing Network-Wide Traffic Anomalies - Anukool Lakhina Mark (2004)   (Correct)

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2.2:   Structural Analysis of Network Traffic Flows - Anukool Lakhina Konstantina (2003)   (Correct)
0.2:   The Impact of BGP Dynamics on Intra-Domain Traffic - Sharad Agarwal Chen-Nee (2004)   (Correct)
0.2:   A Two-step Statistical Approach for Inferring Network - Traffic Demands Medina (2004)   (Correct)

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0.8:   Impact of Flow Dynamics on Traffic Engineering Design.. - Papagiannaki, Taft, Diot (2004)   (Correct)
0.7:   Impact of Flow Dynamics on - Traffic Engineering Design (2004)   (Correct)
0.6:   Long-Term Forecasting of Internet Backbone Traffic - Papagiannaki, Taft, Zhang, Diot (2003)   (Correct)

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7:   Deriving traffic demands for operational IP networks: Methodology and experience - Feldmann, Greenberg et al. - 2000
6:   An Information-Theoretic Approach to Traffic Matrix Estimation - Zhang, Roughan et al. - 2003
6:   A signal analysis of network traffic anomalies - Barford, Kline et al. - 2002

BibTeX entry:   (Update)

A. Lakhina, K. Papagiannaki, M. Crovella, C. Diot, E. Kolaczyk, and N. Taft, "Structural analysis of network traffic flows," in Proc. ACM SIGMETRICS, June 2004. http://citeseer.ist.psu.edu/article/lakhina03structural.html   More

@misc{ lakhina04structural,
  author = "A. Lakhina and K. Papagiannaki and M. Crovella and C. Diot and E. Kolaczyk
    and N. Taft",
  title = "Structural analysis of network traffic flows",
  text = "A. Lakhina, K. Papagiannaki, M. Crovella, C. Diot, E. Kolaczyk, and N.
    Taft, Structural analysis of network traffic flows, in Proc. ACM SIGMETRICS,
    June 2004.",
  year = "2004",
  url = "citeseer.ist.psu.edu/article/lakhina03structural.html" }
Citations (may not include all citations):
692   the Self-Similar Nature of Ethernet Traffic - Leland, Taqqu et al. - 1994
610   Wide Area Traffic: The Failure of Poisson Modeling - Paxson, Floyd - 1995
230   Application of the Karhunen-Lo eve procedure for the charact.. (context) - Kirby, Sirovich - 1990
196   Linear Algebra and its Applications (context) - Strang - 1988
121   Analysis of a complex of statistical variables into principa.. (context) - Hotelling - 1933
104   Deriving traffic demands for operational IP networks: Method.. - Feldmann, Greenberg et al. - 2001
79   Network Tomography: Estimating Source-Destination Traffic In.. (context) - Vardi - 1996
43   Traffic Matrix Estimation: Existing Techniques and New Direc.. - Medina, Taft et al. - 2002
39   A signal analysis of network traffic anomalies - Barford, Kline et al. - 2002
32   Fast Accurate Computation of LargeScale IP Traffic Matrices .. - Zhang, Roughan et al. - 2003
29   Bayesian Inference of Network Traffic Using Link Data - Tebaldi, West - 1998
23   An Information-Theoretic Approach to Traffic Matrix Estimati.. - Zhang, Roughan et al. - 2003
23   Internet Intrusions: Global Characteristics and Prevalence - Yegneswaran, Barford et al. - 2003
19   Aberrant behavior detection in timeseries for network monito.. (context) - Brutlag - 2000
18   Principal Component Analysis in Meteorology and Oceanography (context) - Preisendorfer - 1988
18   Sketch-based Change Detection: Methods (context) - Krishnamurthy, Sen et al. - 2003
17   Estimating Flow Distributions from Sampled Flow Statistics (context) - Duffield, Lund et al. - 2003
17   Pop-Level and Access-Link-Level Traffic Dynamics in a Tier-1.. - Bhattacharyya, Diot et al. - 2001
13   Long-Term Forecasting of Internet Backbone Traffic: Observat.. - Papagiannaki, Taft et al. - 2003
12   Experience in measuring backbone traffic variability: Models - Roughan, Greenberg et al. - 2003
10   High-Dimensional Data Analysis: The Curses and Blessings of .. (context) - Donoho
9   Network Traffic Analysis and Modeling at the Connection Leve.. (context) - Sarvotham, Riedi et al. - 2001
9   Large scale measurement and modeling of backbone internet tr.. - Roughan, Gottlieb - 2002
9   the American Statistical Association (context) - Cao, Davis et al. - 2000
8   Inverting Sampled Traffic - Hohn, Veitch - 2003
7   A Pragmatic Definition of Elephants in Internet Backbone Tra.. - Papagiannaki, Taft et al. - 2002
6   Graph Wavelets for Spatial Traffic Analysis - Crovella, Kolaczyk - 2003
5   Plane Waves and Structures in Turbulent Channel Flow (context) - Sirovich, Ball et al. - 1990
5   Functional Organization of primate visual cortex revealed by.. (context) - T'so, Frostig et al. - 1990
3   Technical Report BUCS (context) - Lakhina, Papagiannaki et al. - 2003
www.juniper.net/techpubs/software/junos/
www.cisco.com/warp/public/732/Tech/netflow/



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