一种领域专用的规则引擎设计与实现

Design and Implementation of A Domain-Specific Rule Engine

在身份认证协议中,安全字符串是必需的。安全字符串的恢复是一个反向的过程,通过在大量候选字符串上做计算并验证,找到丢失或遗忘的正确字符串。在反向的恢复过程中,需要根据变换规则对字符串进行快速处理,生成新的字符串。针对上述需求,首次提出用硬件加速变换规则的处理过程,并在现有的FPGA平台上,设计实现领域专用的规则引擎。实验结果表明,在单个Xilinx Zynq XC7Z030 FPGA上实现的该规则引擎的处理性能优于CPU,性能功耗比相比GPU有3倍的提升,相比CPU有50倍的提升,有效提升了规则处理的速率和能效。

Security strings are often needed in identity authentication mechanism.Security strings recovery is a reverse process,which does much calculation on a large amount of possible strings to find the right one,so that we can recover lost or forgotten strings and regain access to valuable information.In this reverse process,we need to first process basic strings based on transformation rules,so as to generate new ones quickly.In response to the above requirements,this work puts forward the idea of accelerating the processing of rules using hardware for the first time,and a domain specific rule engine is designed and implemented on the existing FPGA platform.The experimental results show that the performance of the rule engine on a single Xilinx Zynq XC7Z030 FPGA is better than that of CPU,its performance power ratio being 3 times higher than that of GPU,and 50 times higher than that of CPU.The speed and energy efficiency of the rule processing is improved effectively.