TCP Congestion Control: A Paradigm Shift from Reactive Loss Signals to Model-Driven and Learning-Based Control

Authors

  • Raj Kumar,Manoj Kumar Sah,Md Ehtashamoul Haque

Keywords:

TCP congestion control, loss-based control, delay-based control, model-based control, learning-based control, TCP CUBIC, BBR, PCC, High-speed networks, Bufferbloat.

Abstract

Abstract - The Transmission Control Protocol (TCP) has been central to the stability andscalability of the Internet, with its congestion control mechanism playing a pivotal role. Theearly loss-based framework, epitomized by TCP Reno’s Additive Increase Multiplicativ Decrease (AIMD) strategy

References

M. Allman, V. Paxson, and E. Blanton, "TCP Congestion Control," RFC 5681, Sep. 2009.

W. R. Stevens, "TCP Slow Start, Congestion Avoidance, Fast Retransmit, and Fast Recovery Algorithms," RFC 2001, Jan. 1997.

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Published

2024-01-21

How to Cite

Raj Kumar,Manoj Kumar Sah,Md Ehtashamoul Haque. (2024). TCP Congestion Control: A Paradigm Shift from Reactive Loss Signals to Model-Driven and Learning-Based Control . Journal of Computational Analysis and Applications (JoCAAA), 32(1), 1147–1156. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3841

Issue

Vol. 32 No. 1 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.