“Comparison of TCP Congestion Control Algorithms: Harnessing the power of Traditional Hybrid and Machine Learning Fusion.”
Author:
Affiliation:
1. Mangalore University,Department of Computer Science,Karnataka,India
2. CMR Institute of Technology,Department of Electronics and Communication,Bengaluru,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10592863/10592866/10593994.pdf?arnumber=10593994
Reference31 articles.
1. A unified congestion control framework for diverse application preferences and network conditions
2. QTCP: Adaptive Congestion Control with Reinforcement Learning
3. Binary increase congestion control (BIC) for fast long-distance networks
4. end2end,2018
5. Dual Channel Adaptive Congestion Control for Datacenters
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