首页 | 本学科首页   官方微博 | 高级检索  
     

依据流统计特性的报文分类规则集动态优化*
引用本文:杨赞,杨林,王保进,张琨.依据流统计特性的报文分类规则集动态优化*[J].计算机应用研究,2011,28(5):1878-1881.
作者姓名:杨赞  杨林  王保进  张琨
作者单位:1. 解放军理工大学,计算机系,南京,270001
2. 中国电子设备工程公司,北京,100141
3. 国家数字交换工程中心,郑州,450002
4. 中国人民解放军61046部队,北京,100094
基金项目:国家高科技发展规划项目(“863”计划)
摘    要:本文针对普遍使用的线性搜索报文分类方法在时间效率方面的固有弱点,设计了一种依据数据流统计特性的规则集自适应动态优化算法。其中包括:规则权重计算,规则优化排序,动态触发优化等部分。在占用较少资源的情况下,较为有效地提高了系统性能,并经实验结果证明,应用效果良好。

关 键 词:报文分类  规则集  统计特性  动态优化
收稿时间:2010/10/10 0:00:00
修稿时间:2010/11/18 0:00:00

Dynamic optimization of packet classification rules organization based on Internet traffic statistical characters
YANG Zan,YANG Lin,WANG Bao-jin,ZHANG Kun.Dynamic optimization of packet classification rules organization based on Internet traffic statistical characters[J].Application Research of Computers,2011,28(5):1878-1881.
Authors:YANG Zan  YANG Lin  WANG Bao-jin  ZHANG Kun
Affiliation:YANG Zan1,YANG Lin2,WANG Bao-jin3,ZHANG Kun4(1.Dept.of Computer Science,PLA University of Science & Technology,Nanjing 270001,China,2.Institute of China Electronic Equipment System Engineering Company,Beijing 100141,3.National Digital Switching Research Center,Zhengzhou 450002,4.61046 PLA Troop,Beijing 100094,China)
Abstract:Aimed at the natural weakness of the commonly used linear search packet classification algorithm in the aspect of time efficiency, a novel algorithm which dynamically optimizes the rules organization based on the internet traffic statistical characteristics was proposed in this paper. This algorithm includes calculating the weights of rules, optimizing the order of rules, dynamically triggered optimizing and so on.. Because of the minimized resource consumption, this algorithm can practically improve the system performance and was shown to be efficient in the actual tests.
Keywords:Packet classification  rules  statistical characters  dynamic optimization
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《计算机应用研究》浏览原始摘要信息
点击此处可从《计算机应用研究》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号