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ідея - Virtual Network Embedding (VNE)
A Constraint-Aware Learning Framework for Efficient Resource Allocation in Network Function Virtualization (NFV) Networks
This paper introduces CONAL, a novel constraint-aware learning framework designed to optimize resource allocation in Network Function Virtualization (NFV) networks by effectively addressing the challenges of constraint management in Virtual Network Embedding (VNE).
Flexible and Generalizable Reinforcement Learning Framework for Efficient Virtual Network Resource Allocation
A flexible and generalizable reinforcement learning framework, named FlagVNE, is proposed to effectively solve the virtual network embedding (VNE) problem by enhancing searchability and generalizability.
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