Path selection method for software defined network based on Q learning
A software-defined network and path selection technology, applied in the field of communication, can solve problems such as dynamic changes, service requests and network nodes do not correspond one-to-one, unknown devices and paths, etc.
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[0026] Embodiment one: see figure 1 , 2As shown, a path selection method for software-defined networks based on Q-learning, the software-defined network infrastructure layer receives service requests, and the software-defined network controller constructs a virtual network according to the required service components and combination methods, and allocates suitable The network path completes the service request and finally reaches the terminal, and the suitable network path is obtained through the Q learning method in reinforcement learning, and the method steps are:
[0027] (1) Set up several service nodes P on the established virtual network, and each service node is assigned a corresponding bandwidth resource B;
[0028] (2) Classify the received service requests into actions a that can be taken, and try to select each path that can reach the terminal according to the ε-greedy strategy, that is, each action a passes through the corresponding service node P to complete the ...
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