带前缀着色的包分类硬件结构

V. Pus, Michal Kajan, J. Korenek
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引用次数: 5

摘要

报文分类是网络安全设备中广泛应用的一种操作。随着网络速度的不断提高,对fpga或asic中分组分类硬件加速的需求也在不断增长。如今,在硬件上实现的算法可以达到千兆位的速度,但却承受着巨大的内存开销。我们提出了一种新的算法和硬件架构,减少了基于分解的分组分类方法对内存的需求。该算法使用前缀着色来减少大量的笛卡尔积规则,但代价是额外的流水线处理和在最长前缀匹配操作的结果中添加一些比特。所提出的硬件架构被设计为一个处理管道,使用商用FPGA和一个外部存储器,每秒吞吐量为2.66亿个数据包。该算法最大的优点是搜索操作的时间复杂度是恒定的,这使得该方案能够抵抗各种类型的网络安全攻击。
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Hardware architecture for packet classification with prefix coloring
Packet classification is a widely used operation in network security devices. As network speeds are increasing, the demand for hardware acceleration of packet classification in FPGAs or ASICs is growing. Nowadays algorithms implemented in hardware can achieve multigigabit speeds, but suffer with great memory overhead. We propose a new algorithm and hardware architecture which reduces memory requirements of decomposition based methods for packet classification. The algorithm uses prefix coloring to reduce large amount of Cartesian product rules at the cost of an additional pipelined processing and a few bits added into results of the longest prefix match operation. The proposed hardware architecture is designed as a processing pipeline with the throughput of 266 million packets per second using commodity FPGA and one external memory. The greatest strength of the algorithm is the constant time complexity of the search operation, which makes the solution resistant to various classes of network security attacks.
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