北京邮电大学学报

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北京邮电大学学报

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用SUH算法实现高速流分类 

    

  1. 北京邮电大学 计算机科学与技术学院 , 北京 100876 
  • 基金资助:
     

Fast Flow Classification Using Split United Hierarchy 

    

  1. Computer Science and Technology School, Beijing University of Posts and Telecommunications, Beijing 100876, China 
  • Supported by:
     

摘要:

在分析了2种高速流分类算法ABV( aggreg ate bit vector)和 HiCuts( hierarchical intelligent cuttings)的基础上 ,提出了一种新的高速流分类算法 SUH(split united hierarchy) . 通过利用实际的分类器对 SUH进行的测试表明: SUH在占用很小内存的条件下能快速完成预处理和查找过程 ,实现了高速流分类. 

关键词:

Abstract:

After analyzing two high speed packet algorithms: ABV ( aggregate bit vector) and HiCuts( hierarchical intellig ent cuttings), an entire new algorithm is presented which is called SUH( split united hierarchy). Through examining SUH's performance with a real classifier, it is found that SUH can implement high speed packet classification by fast preprocess and lookup time with very small storage cost. 

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