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Abstract: Introduction Previous work has found that at least two mechanisms are responsible for the complex dynamics observed in Internet traffic on relatively large timescales (above approximately 100 ms): aggregation of independent flows with heavy tailed On/Off durations [1][2][3] and competition of TCP flows in bottleneck links [4]. The former is applicable if the correlation among flows is small, e.g., if the network is lightly loaded. The latter, on the other hand, models a congested bottleneck... (Update)
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BibTeX entry: (Update)
@misc{ veres-impact,
author = "Andras Veres and Miklos Boda",
title = "On the Impact of Random Losses and Short Files on Chaotic TCP Systems",
url = "citeseer.ist.psu.edu/472777.html" }
Citations (may not include all citations):692 the Self-Similar Nature of Ethernet Traffic - Leland, Taqqu et al. - 1993
579 Self-Similarity in World Wide Web Traffic: Evidence and Poss.. - Crovella, Bestavros - 1996
123 Dynamics of IP Traffic: A Study of the Role of Variability a.. - Feldmann, Gilbert et al. - 1999
104 Wavelet Analysis of Long-Range-Dependent Traffic - Abry, Veitch - 1998
92 Geometry from a Time Series (context) - Packard, Crutchfield et al. - 1980
92 Estimators for long-range dependence: an empirical study - Taqqu, Teverovsky et al.
76 Proof of a Fundamental Result in Self-Similar Traffic Modeli.. - Taqqu, Willinger et al. - 1997
73 The Chaotic Nature of TCP Congestion Control - Veres, Boda
49 Chaos and Fractals - New Frontiers of Science (context) - Peitgen, Jurgens et al. - 1992
48 the Relationship Between File Sizes, Transport Protocols, an.. - Park, Kim et al. - 1996
45 the Effect of Traffic Self-Similarity on Network Performance - Park, Kim et al. - 1997
Documents on the same site (http://comet.columbia.edu/~veres/):
On the Propagation of Long-Range Dependence in the Internet - Veres, Kenesi, Molnár.. (2000) (Correct)
A Family of Measurement-Based Admission Control Algorithms - Turanyi, Veres, Olah (1998) (Correct)
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