The DOI matches its Crossref record.
Scalable laws for stable network congestion control
Abstract
Discusses flow control in networks, in which sources control their rates based on feedback signals received from the network links, a feature present in current TCP protocols. We develop a congestion control system which is arbitrarily scalable, in the sense that its stability is maintained for arbitrary network topologies and arbitrary amounts of delay. Such a system can be implemented in a decentralized way with information currently available in networks plus a small amount of additional signaling.
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Citations
Cited by
Consensus Problems in Networks of Agents With Switching Topology and Time-Delays
Olfati-Saber, R., & Murray, R. M. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.834113 · Cited by 12,788
Network Optimization and Control
Shakkottai, S., & Srikant, R. (2007) · Foundations and Trends® in Networking · doi:10.1561/1300000007 · Cited by 320
Metadata
- Authors
- Paganini, F., Doyle, J., & Low, S.
- Venue
- Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228)
- Publisher
- IEEE
- Published
- 2003-07-10
- Volume
- 1
- Pages
- 185-190
- ISSN
- 0191-2216 (ISSN-L)
- OpenAlex
- W2142325999
- Cited by
- 276
- References
- 0
- FWCI
- 19.18
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Scalable laws for stable network congestion control. https://app.cochat.ai/papers/10.1109/cdc.2001.980095
- The paper
- Paganini, F., Doyle, J., & Low, S. (2003). Scalable laws for stable network congestion control. Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228). https://doi.org/10.1109/cdc.2001.980095
Data sources
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.
