The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Modeling TCP throughput: a simple model and its empirical validation
Abstract
In this paper we develop a simple analytic characterization of the steady state throughput, as a function of loss rate and round trip time for a bulk transfer TCP flow, i.e., a flow with an unlimited amount of data to send. Unlike the models in [6, 7, 10], our model captures not only the behavior of TCP's fast retransmit mechanism (which is also considered in [6, 7, 10]) but also the effect of TCP's timeout mechanism on throughput. Our measurements suggest that this latter behavior is important from a modeling perspective, as almost all of our TCP traces contained more time-out events than fast retransmit events. Our measurements demonstrate that our model is able to more accurately predict TCP throughput and is accurate over a wider range of loss rates.
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Cites
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On Model Transmission Strategies in Federated Learning With Lossy Communications
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Metadata
- Authors
- Padhye, J., Firoiu, V., Towsley, D., & Kurose, J.
- Venue
- Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
- Publisher
- ACM
- Published
- 1998-10
- Pages
- 303-314
- OpenAlex
- W2124478678
- Cited by
- 2,106
- References
- 10
- FWCI
- 62.36
- Type
- conference paper
- Language
- en
- Open access
- closed
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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.
