An intelligent scheme for congestion control: When active queue management meets deep reinforcement learning

2021 ◽  
pp. 108515
Author(s):  
Huihui Ma ◽  
Du Xu ◽  
Yueyue Dai ◽  
Qing Dong
SIMULATION ◽  
2005 ◽  
Vol 81 (6) ◽  
pp. 437-459 ◽  
Author(s):  
Seungwan Ryu ◽  
Byunghan Ryu ◽  
Myoungki Jeong ◽  
Seikwon Park

Author(s):  
Md. Shohidul Islam ◽  
Md. Niaz Morshed ◽  
Sk. Shariful Islam ◽  
Md. Mejbahul Azam

Congestion is an un-avoiding issue of networking, and many attempts and mechanisms have been devised to avoid and control congestion in diverse ways. Random Early Discard (RED) is one of such type of algorithm that applies the techniques of Active Queue Management (AQM) to prevent and control congestion and to provide a range of Internet performance facilities. In this chapter, performance of RED algorithm has been measured from different point of views. RED works with Transmission Control Protocol (TCP), and since TCP has several variants, the authors investigated which versions of TCP behave well with RED in terms of few network parameters. Also, performance of RED has been compared with its counterpart Drop Tail algorithm. These statistics are immensely necessary to select the best protocol for Internet performance optimization.


2004 ◽  
Vol 25 (3/4) ◽  
pp. 317-351 ◽  
Author(s):  
Seungwan Ryu ◽  
Christopher Rump ◽  
Chunming Qiao

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