A scalable hardware solution for packet classification

Hung-Yi Chang, Chia-Tai Chan, Pi-Chung Wang, Chun-Liang Lee
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引用次数: 7

Abstract

One of interesting hardware solutions proposed to solve the packet classification problem is bit-vector algorithm. Different from other hardware solutions such as ternary CAM, it efficiently utilizes the memories to achieve an excellent performance in medium size policy database; however, it cannot scale up with the policy number increases. In this paper, we proposed an improved bit-vector algorithm named bit vector condensation, which can be adapted to large policy databases. Experiments showed that our proposed algorithm drastically improves in the storage requirements and search speed as compared to the original algorithm
数据包分类的可扩展硬件解决方案
位向量算法是解决分组分类问题的一种有趣的硬件解决方案。与其他硬件解决方案(如三元CAM)不同,它有效地利用了内存,在中等规模的策略数据库中实现了优异的性能;但是,它不能随着保单数量的增加而扩大。本文提出了一种改进的位向量压缩算法,该算法可以适应于大型策略数据库。实验表明,与原算法相比,本文提出的算法在存储需求和搜索速度上都有显著提高
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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