A Traffic Shaping Algorithm on Network using Learning Automata
Hiroyuki Une, Shigeya Ikebo, Fei Qian · Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications · 2005
This manuscript introduces a new algorithm for shaping the traffic of the network. The traffic shaping method is effective for avoidance of the congestion of network. Our proposed algorithm employ Reinforcement Learning method with Ants Computing System scheme. Every router obtains the routing information from agents which called “Ants,” and uses it for updating the routing table. We show that our algorithm gives good proportion for distributing each traffic flow.