Virtual optical network mapping method based on multi-agent deep reinforcement learning
A virtual optical network and reinforcement learning technology, applied in neural learning methods, data exchange networks, biological neural network models, etc., can solve the problems of high blocking rate and low network utilization.
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[0065] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.
[0066] Such as figure 1 As shown, a virtual optical network mapping method based on multi-agent deep reinforcement learning, its steps are:
[0067] Step 1: Execute the resource scheduling update algorithm of the underlying physical network, and request the service R arrival time T in the virtual network a , Determine whether other virtual network services in the underlying physical network of the environment module at this moment have lef...
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