Multibit Tries Packet Classification with Deep Reinforcement Learning. (arXiv:2205.08606v1 [cs.NI])

High performance packet classification is a key component to support scalable
network applications like firewalls, intrusion detection, and differentiated
services. With ever increasing in the line-rate in core networks, it becomes a
great challenge to design a scalable and high performance packet classification
solution using hand-tuned heuristics approaches. In this paper, we present a
scalable learning-based packet classification engine and its performance
evaluation. By exploiting the sparsity of ruleset, our algorithm uses a few
effective bits (EBs) to extract a …

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