摘要
传统位并行多维数据包分类系统的数据信息占据空间过大、分类效果较差。针对上述问题,基于云计算设计一种新的位并行多维数据包分类系统,主要分为硬件设计和软件设计两部分。系统硬件包括三个模块,分别为规则管理模块、存储管理模块和中断处理模块;软件由内部分类程序、数据分类程序、数据包包头合成程序和内核数据处理程序4个主要程序组成。为检测系统的工作效果,与传统系统进行实验研究,结果表明,基于云计算的位并行多维数据包分类系统数据信息占据空间小,分类效果优于传统系统设计。
The data information designed by the traditional bit-paralleled multi-dimension packet classification system occupies too large space and the classification effect is poor. In view of this,a new bit-paralleled multi-dimension packet classification system based on cloud computing is designed. The system consists of hardware and software. The system hardware includes three modules,which are rule management module,storage management module and interrupt processing module. The system software consists of 4 main programs,named internal classification program,data classification program,data packet header synthesis program and kernel data processing program. The designed system is compared with the traditional system by experiments to test the working effect. The results show that the data information of bit-paralleled multi-dimension packet classification system based on cloud computing occupies a smaller space,and the classification effect is better than that of the traditional system.
作者
侯慧玲
HOU Huiling(Department of Computer,Changzhi University,Changzhi 046011,China)
出处
《现代电子技术》
北大核心
2020年第17期175-179,共5页
Modern Electronics Technique
基金
山西省教育科学“十三五”规划课题:云计算时代地方本科院校网络工程专业教学改革的研究(GH-18098)
长治学院1331工程项目:教育大数据分析与应用协同创新中心(200624)。
关键词
数据包分类
位并行算法
系统设计
云计算
位并行多维数据包
内核数据处理
data packet classification
bit-parallelism algorithm
system design
cloud computing
bit-paralleled multidimension data packet
kernel data processing