Grafnet: Using Graph Neural Networks to Create Table-Less Routers

IEEE Transactions on Network Science and Engineering(2022)

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摘要
Grafnet, a Graph Neural-Network (GNN)-based scheme learns IP-address-to-port mapping, leading to forwarding table-less routers. GNNs allow mapping network-wide features like adjacencies and addresses to generate new representations. Grafnet converts network-wide IP addresses to a feature space using GNNs. GNNs extrapolate node adjacencies onto a feature matrix, whose output tells which address/sub...
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关键词
IP networks,Routing protocols,Computational modeling,Training,Routing,Delays,Throughput
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