Fast String Searching on PISA

Theo Jepsen, Daniel Álvarez, Nate Foster, Changhoon Kim, Jeongkeun Lee, M. Moshref, R. Soulé
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引用次数: 46

Abstract

This paper presents PPS, a system for locating occurrences of string keywords stored in the payload of packets using a programmable network ASIC. The PPS compiler first converts keywords into Deterministic Finite Automata (DFA) representations, and then maps the DFA into a sequence of forwarding tables in the switch pipeline. Our design leverages several hardware primitives (e.g., TCAM, hashing, parallel tables) to achieve high throughput. Our evaluation shows that PPS demonstrates significantly higher throughput and lower latency than string searches running on CPUs, GPUs, or FPGAs.
对PISA的快速字符串搜索
本文介绍了PPS,一个利用可编程网络专用集成电路(ASIC)定位存储在数据包有效载荷中的字符串关键字出现的系统。PPS编译器首先将关键字转换为确定性有限自动机(Deterministic Finite Automata, DFA)表示,然后将DFA映射为交换管道中的转发表序列。我们的设计利用了几个硬件原语(例如,TCAM,散列,并行表)来实现高吞吐量。我们的评估表明,与在cpu、gpu或fpga上运行的字符串搜索相比,PPS具有更高的吞吐量和更低的延迟。
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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