一种基于Bloom-filter表项压缩的TCAM业务识别算法

在三态内容寻址存储器(Ternary Content Addressable Memory, TCAM)表项宽度和存储容量约束下，该文提出一种基于匹配表项压缩的BF-TCAM算法，采用Bloom-Filter(BF)对匹配关键字进行单字节编码压缩关键字长度，解决了匹配吞吐率低和存储空间不足问题。针对BF在表项压缩过程带来的冲突率上升问题，引入向量存储空间策略，利用向量存储空间实现多个哈希函数映射，相对于比特向量策略，有利于降低匹配冲突率。测试实验表明，相对于传统的TCAM匹配算法，BF-TCAM算法不但提高了匹配吞吐率和存储空间利用率，同时可有效降低BF压缩产生的冲突率。

A TCAM Service Identification Algorithm Based on Access Compression Using Bloom-filter

Within the confines of access width and storage capacity in Ternary Content Addressable Memory(TCAM) chip,pattern matching algorithm using TCAM has low throughput and limited memory.This paper proposes BF-TCAM algorithm based on access compression by single byte coding using Bloom-Filter(BF) algorithm,increases the throughput and improves the utilization efficiency of storage space.BF algorithm will bring collision,which can be reduced by using vector memory instead of bit vector in BF-TCAM algorithm.The ex...