SpliDT partitions decision trees into subtrees, processes flows in windows, and reuses switch registers via recirculation, supporting up to 5x more stateful features than NetBeacon and Leo with higher F1 at similar flow counts.
Understanding data center traffic characteristics
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SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate
SpliDT partitions decision trees into subtrees, processes flows in windows, and reuses switch registers via recirculation, supporting up to 5x more stateful features than NetBeacon and Leo with higher F1 at similar flow counts.