Partitioned 2D Set-Pruning Segment Trees with Compressed Buckets for Multi-Dimensional Packet Classification
Yeim-Kuan Chang,
Hsin-Mao Chen
Abstract:Multi-dimensional packet classification is one of the most important functions to support various services in next generation routers. Both the memory-efficient data structure to support larger rule tables and the hardware architecture to achieve a higher throughput are desired. In this paper, we propose a parallel and pipelined architecture called Set-Pruning Segment Trees with Buckets (SPSTwB) for multi-dimensional packet classification. SPSTwB significantly reduces rule duplication based on a novel partitio… Show more
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