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一种内存优化的RFC包分类算法Merge_RFC
引用本文:曹婕,陈兵.一种内存优化的RFC包分类算法Merge_RFC[J].小型微型计算机系统,2012,33(4):865-868.
作者姓名:曹婕  陈兵
作者单位:南京航空航天大学信息科学与技术学院,南京,210016
摘    要:递归流包分类(RFC)算法是目前分类速度较快的一种基于软件实现的多维包分类算法.但是该算法随着规则集规模的增大,占用大量的内存空间,存储开销巨大.针对这一问题,提出一种内存优化的RFC算法Merge_RFC.该算法提出一种位串合并的方法,对RFC算法的交叉乘积表进行压缩,消除冗余空间.仿真结果表明,Merge_RFC在保持较高分类速度的前提下,可以将RFC算法占用的内存空间压缩80%以上.

关 键 词:包分类  RFC算法  内存优化  交叉乘积表

Memory-optimized RFC Packet Classification Algorithm MergeRFC
CAO Jie , CHEN Bing.Memory-optimized RFC Packet Classification Algorithm MergeRFC[J].Mini-micro Systems,2012,33(4):865-868.
Authors:CAO Jie  CHEN Bing
Affiliation:(College of Information Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
Abstract:Among software-based multi-dimensional packet classification algorithms,RFC(Recursive Flow Classification) has a good performance in classification speed.But the excessive memory consumption incurred by the expansion of filter sets costs large storage.Therefore,Merge_RFC,a memory optimized RFC,is proposed in this paper,designing a method of merging bit strings to compress the cross-producing tables and reduce the memory redundancy of RFC.The simulation results show the outstanding performance of Merge_RFC that it can reduce the memory consumption up to 80% when achieving the same classification speed as RFC.
Keywords:packet classification  recursive flow classification  memory optimization  cross-producing table
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