| 基于分组标识的网络流量抽样测量模型 |
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| 引用本文： | 程光,龚俭,丁伟.基于分组标识的网络流量抽样测量模型[J].电子学报,2002,30(Z1):1986-1990. |
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| 作者姓名： | 程光 龚俭 丁伟 |
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| 作者单位： | 1. 东南大学计算机科学与工程系, 江苏南京, 210096;
2. 江苏省计算机网络技术重点实验室, 江苏南京, 210096 |
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| 基金项目： | 国家自然科学基金，国家高技术研究发展计划(863计划)，90104031，2001AA112060，， |
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| 摘 要： | PSAMP建议流量抽样测量模型应该简单且能够满足各种测量应用要求,为此,文章提出基于报文标识的流量抽样测量模型.对CERNET主干网络流量IP报头各字段的进行随机性分析,结果表明标识字段16比特统计上满足抽样掩码匹配字段的随机性要求.并提出基于标识字段的多掩码抽样测量算法及其修正算法,实验验证其抽样样本既能满足流量统计行为研究,又能进行网络行为研究.
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| 关 键 词： | 分组标识 抽样测量 抽样掩码 位熵 |
| 文章编号： | 0372-2112(2002)12A-1986-05 |
| 收稿时间： | 2002-06-11 |
| 修稿时间： | 2002年6月11日 |
Network Traffic Sampling Measurement Model on Packet Identification |
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| CHENG Guang,GONG Jian,DING Wei.Network Traffic Sampling Measurement Model on Packet Identification[J].Acta Electronica Sinica,2002,30(Z1):1986-1990. |
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| Authors: | CHENG Guang GONG Jian DING Wei |
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| Affiliation: | 1. Computer of Computer Science & Engineering Southeast University, Nanjing, Jingsu 210096, China;
2. Key Lab of Computer Network Technology Jinagsu Province, Nanjing, Jiangsu 210096, China |
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| Abstract: | A new sampling model for measurement using packet identification on IP network is provided in this paper under a principle of PSAMP,a working group of IETF,that a good sampling model should work for all purposes of measurement applications at the same time with a simple way. After researching and analyzing huge amounts of packet headers captured randomly on CERNET backbone, the result shows that 16 bits of identification field in IP packet header is enough for matching bits of sampling mask. Then a mufti-mask sampling measurement model on identification and its corrected model are provided in the paper, and the experiment also reveals that this sampling way can be used not only in traffic measurement but also for network behavior analysis. |
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| Keywords: | packet identification measurement sampling mask bit entropy |
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