Green virtual network embedding with supervised self-organizing map

•The paper presents Self-organizing Green Virtual Network Embedding (SoGVNE) method as a embedding algorithm based on supervised self-organizing map (SOM) neural network.•Proposed SoGVNE uses virtual nodes historical data to learn the mapping process in the future.•The paper uses SOM connected lattice network to be aware of data center network topology.•The paper updates the SOM weight matrix in VNE process to be self-organized.•The paper uses renewable energy resources whenever they are available.