The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
TCP ex machina: computer-generated congestion control
Abstract
This paper describes a new approach to end-to-end congestion control on a multi-user network. Rather than manually formulate each endpoint's reaction to congestion signals, as in traditional protocols, we developed a program called Remy that generates congestion-control algorithms to run at the endpoints.
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Citations
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
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
Congestion avoidance and control
Jacobson, V. (1988) · Symposium proceedings on Communications architectures and protocols · doi:10.1145/52324.52356 · Cited by 2,479
CUBIC: a new TCP-friendly high-speed TCP variant
Ha, S., Rhee, I., & Xu, L. (2008) · ACM SIGOPS Operating Systems Review · doi:10.1145/1400097.1400105 · Cited by 2,287
Analysis of the increase and decrease algorithms for congestion avoidance in computer networks
Chiu, D.-M., & Jain, R. (1989) · Computer Networks and ISDN Systems · doi:10.1016/0169-7552(89)90019-6 · Cited by 1,902
Alizadeh, M., Greenberg, A., Maltz, D. A., Padhye, J., Patel, P., Prabhakar, B., Sengupta, S., & Sridharan, M. (2010) · Proceedings of the ACM SIGCOMM 2010 conference · doi:10.1145/1851182.1851192 · Cited by 1,877
Equation-based congestion control for unicast applications
Floyd, S., Handley, M., Padhye, J., & Widmer, J. (2000) · ACM SIGCOMM Computer Communication Review · doi:10.1145/347057.347397 · Cited by 1,414
Geometric modeling using octree encoding
Meagher, D. (1982) · Computer Graphics and Image Processing · doi:10.1016/0146-664x(82)90104-6 · Cited by 1,266
TCP Vegas: new techniques for congestion detection and avoidance
Brakmo, L. S., O'Malley, S. W., & Peterson, L. L. (1994) · ACM SIGCOMM Computer Communication Review · doi:10.1145/190809.190317 · Cited by 1,198
Cited by
Resource Management with Deep Reinforcement Learning
Mao, H., Alizadeh, M., Menache, I., & Kandula, S. (2016) · Proceedings of the 15th ACM Workshop on Hot Topics in Networks · doi:10.1145/3005745.3005750 · Cited by 1,353
Boutaba, R., Salahuddin, M. A., Limam, N., Ayoubi, S., Shahriar, N., Estrada-Solano, F., & Caicedo, O. M. (2018) · Journal of Internet Services and Applications · doi:10.1186/s13174-018-0087-2 · Cited by 1,036
Machine Learning for Networking: Workflow, Advances and Opportunities
Wang, M., Cui, Y., Wang, X., Xiao, S., & Jiang, J. (2018) · IEEE Network · doi:10.1109/mnet.2017.1700200 · Cited by 448
AuTO: scaling deep reinforcement learning for datacenter-scale automatic traffic optimization
Chen, L., Lingys, J., Chen, K., & Liu, F. (2018) · Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication · doi:10.1145/3230543.3230551 · Cited by 282
Metadata
- Authors
- Winstein, K., & Balakrishnan, H.
- Venue
- Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM
- Publisher
- ACM
- Published
- 2013-08-27
- Pages
- 123-134
- OpenAlex
- W1988975763
- Cited by
- 332
- References
- 46
- FWCI
- 16.67
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: TCP ex machina: computer-generated congestion control. https://app.cochat.ai/papers/10.1145/2486001.2486020
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- Winstein, K., & Balakrishnan, H. (2013). TCP ex machina: computer-generated congestion control. Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM. https://doi.org/10.1145/2486001.2486020
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.
