Making TCP BBR Pacing Adaptive With Domain Knowledge Assisted Reinforcement Learning
Author:
Affiliation:
1. Department of Computer Science, Tongji University, Shanghai, China
2. School of Information Science and Engineering, Fudan University, Shanghai, China
3. Huawei Technologies, Shenzhen, China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Key-Area Research and Development Program of Guangdong Province
Huawei Project on New Transport Layer
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/6488902/10159461/10044256.pdf?arnumber=10044256
Reference43 articles.
1. Pantheon: The training ground for internet congestion-control research;yan;Proc USENIX Annu Tech Conf,0
2. Fast TCP: Motivation, architecture, algorithms, performance;jin;Proc IEEE InfoCom,2004
3. TCP ex machina
4. FAST TCP: from theory to experiments
5. TCP-Drinc: Smart Congestion Control Based on Deep Reinforcement Learning
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