FACL: A Flexible and High-Performance ACL engine on FPGA-based SmartNIC

Chengjun Jia, Chenglong Li, Yifan Li, Xiaohe Hu, Jun Li
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Abstract

Access Control List (ACL) is an important network function in modern cloud and carrier networks. Nowadays, SmartNIC is becoming a promising location to perform network functions in the end-to-end transmission. However, previous ACL designs have difficulties to achieve high throughput and support various kinds of rulesets at the same time. FPGA-based SmartNIC brings a new opportunity due to its flexibility and parallelism. In this paper, we propose FACL, a flexible and high performance ACL engine with the decision tree approach on FPGA-based SmartNIC. With the tree decomposition and the Network-on-Chip (NOC) pipeline scheduling, it is feasible for FACL to support all kinds of rulesets, as long as there is sufficient memory space. A compiler for FACL is also proposed, which maps decision trees to SRAM memory to optimize the throughput of a ruleset. FACL is implemented on Xilinx U250, a typical FPGA SmartNIC. According to the evaluation, FACL achieves up to 250 Mpps throughput with about 150 ns latency, when dealing with various 100 K ACL rulesets. The utilization of LUT/Register is only 10%/3.8%. With further decision tree optimization and engine parallelism, FACL has the potential to achieve higher throughput and support larger rulesets.
FACL:基于fpga的SmartNIC灵活高性能的ACL引擎
ACL (Access Control List)是现代云和运营商网络中的一项重要网络功能。目前,SmartNIC正在成为端到端传输中实现网络功能的理想场所。但是,以往的ACL设计难以同时实现高吞吐量和支持多种规则集。基于fpga的智能网卡由于其灵活性和并行性带来了新的机遇。本文在基于fpga的SmartNIC上提出了一种基于决策树方法的灵活高性能ACL引擎FACL。通过树分解和片上网络(NOC)流水线调度,只要有足够的内存空间,FACL支持各种规则集是可行的。本文还提出了一个FACL编译器,该编译器将决策树映射到SRAM存储器,以优化规则集的吞吐量。FACL是在典型的FPGA SmartNIC Xilinx U250上实现的。根据评估,在处理各种100k ACL规则集时,FACL的吞吐量最高可达250mpps,延迟约为150ns。LUT/Register的利用率仅为10%/3.8%。通过进一步的决策树优化和引擎并行性,FACL有可能实现更高的吞吐量并支持更大的规则集。
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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