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On the characteristics and origins of internet flow rates

Open access
Zhang, Yin, Breslau, Lee, Paxson, Vern, Shenker, Scott·2002·Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications

Abstract

This paper considers the distribution of the rates at which flows transmit data, and the causes of these rates. First, using packet level traces from several Internet links, and summary flow statistics from an ISP backbone, we examine Internet flow rates and the relationship between the rate and other flow characteristics such as size and duration. We find, as have others, that while the distribution of flow rates is skewed, it is not as highly skewed as the distribution of flow sizes. We also find that for large flows the size and rate are highly correlated. Second, we attempt to determine the cause of the rates at which flows transmit data by developing a tool, T-RAT, to analyze packet-level TCP dynamics. In our traces, the most frequent causes appear to be network congestion and receiver window limits.

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Metadata

Authors
Zhang, Y., Breslau, L., Paxson, V., & Shenker, S.
Venue
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Publisher
ACM
Published
2002-08-19
Pages
309-322
OpenAlex
W2105047865
Cited by
325
References
0
FWCI
12.79
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: On the characteristics and origins of internet flow rates. https://app.cochat.ai/papers/10.1145/633025.633055
The paper
Zhang, Y., Breslau, L., Paxson, V., & Shenker, S. (2002). On the characteristics and origins of internet flow rates. Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications. https://doi.org/10.1145/633025.633055

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.