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DeepOpt: VNF Placement via DRL and GNN by nongmanhduycba is a document available to read on EtoBox.

The paper presents DeepOpt, a novel approach that combines Deep Reinforcement Learning (DRL) and Graph Neural Networks (GNN) to optimize the placement of Virtual Network Functions (VNFs) in Network Function Virtualization (NFV) environments. DeepOpt addresses the NP-hard VNF placement problem by leveraging GNN

Author

nongmanhduycba

Language

EN