The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
End-to-end congestion control schemes: utility functions, random losses and ecn marks
Abstract
We present a framework for designing end-to-end congestion control schemes in a network where each user may have a different utility function and may experience noncongestion-related losses. We first show that there exists an additive-increase-multiplicative-decrease scheme using only end-to-end measurable losses such that a socially optimal solution can be reached. We incorporate round-trip delay in this model, and show that one can generalize observations regarding TCP-type congestion avoidance to more general window flow control schemes. We then consider explicit congestion notification (ECN) as an alternate mechanism (instead of losses) for signaling congestion and show that ECN marking levels can be designed to nearly eliminate losses in the network by choosing the marking level independently for each node in the network. While the ECN marking level at each node may depend on the number of flows through the node, the appropriate marking level can be estimated using only aggregate flow measurements, i.e., per-flow measurements are not required.
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Cites
Random early detection gateways for congestion avoidance
Floyd, S., & Jacobson, V. (1993) · IEEE/ACM Transactions on Networking · doi:10.1109/90.251892 · Cited by 6,290
Bertsekas, D. P., & Gallager, R. G. (1987) · Cited by 5,561
Congestion avoidance and control
Jacobson, V. (1995) · ACM SIGCOMM Computer Communication Review · doi:10.1145/205447.205462 · Cited by 5,301
Rate control for communication networks: shadow prices, proportional fairness and stability
Kelly, F. P., Maulloo, A. K., & Tan, D. K. H. (1998) · Journal of the Operational Research Society · doi:10.1057/palgrave.jors.2600523 · Cited by 5,021
Charging and rate control for elastic traffic
Kelly, F. (1997) · European Transactions on Telecommunications · doi:10.1002/ett.4460080106 · Cited by 2,936
Rate control for communication networks: shadow prices, proportional fairness and stability
Kelly, F. P., Maulloo, A. K., & Tan, D. K. H. (1998) · Journal of the Operational Research Society · doi:10.1038/sj.jors.2600523 · Cited by 2,399
Modeling TCP throughput: a simple model and its empirical validation
Padhye, J., Firoiu, V., Towsley, D., & Kurose, J. (1998) · Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication · doi:10.1145/285237.285291 · Cited by 2,106
Fair end-to-end window-based congestion control
Mo, J., & Walrand, J. (2000) · IEEE/ACM Transactions on Networking · doi:10.1109/90.879343 · Cited by 2,095
Optimization flow control. I. Basic algorithm and convergence
Low, S. H., & Lapsely, D. E. (1999) · IEEE/ACM Transactions on Networking · doi:10.1109/90.811451 · Cited by 1,972
Congestion avoidance and control
Jacobson, V. (1988) · ACM SIGCOMM Computer Communication Review · doi:10.1145/52325.52356 · Cited by 1,955
Cited by
Network Optimization and Control
Shakkottai, S., & Srikant, R. (2007) · Foundations and Trends® in Networking · doi:10.1561/1300000007 · Cited by 320
Self-citationDecentralized Additive Increase and Multiplicative Decrease-Based Electric Vehicle Charging
Ucer, E., Kisacikoglu, M. C., & Yuksel, M. (2021) · IEEE Systems Journal · doi:10.1109/jsyst.2020.3013189 · Cited by 11
Metadata
- Authors
- Kunniyur, S., & Srikant, R.
- Venue
- IEEE/ACM Transactions on Networking
- Published
- 2003-10
- Volume
- 11
- Issue
- 5
- Pages
- 689-702
- ISSN
- 1063-6692 (ISSN-L)
- OpenAlex
- W2174430759
- Cited by
- 448
- References
- 30
- FWCI
- 57.17
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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