【摘要】 包匹配是防火墙、路由器等设备中重要的研究焦点,它的速度直接影响着设备的性能。根据当前群的样本信息,把信息熵和直方图的理念引入当前群的信息统计,进而运用这些信息去动态调整化学反应的元启发式算法的相关参数。首次从当前群样本的角度,而不是假设全体样本的分布去分析问题。从实验结果看,其达到了很好的预期效果。基于化学反应的元启发式智能算法由于参数的动态调整,包匹配的规模和性能之间的联系更弱,从而使此智能算法更适合包匹配。更多还原

【Abstract】 Packet matching is the research focus of firewall and router devices.Its speed influences directly device performances.According to the sample informations of population currently,this paper drawed information entropy and histogram into information statistics of population currently,and used these statistics informations to adjust dynamicaly relevant parameters of optimization algorithm of Chemical-reaction-inspired metaheuristic.This paper,for the first time, analyzed problem from the sample of population currently,instead of assuming what is the distribution of all sample. From the experimental results,the algorithm proposed by this paper gets good desired effects.For dynamic adjustment parameters of intelligence algorithm of Chemical-reaction-inspired metaheuristic,the relation of scale and performance of packet matching is more loose.And the intelligent algorithm proposed is more suitable for packet matching.更多还原