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高速网络流量测量方法
引用本文:周爱平,程光,郭晓军.高速网络流量测量方法[J].软件学报,2014,25(1):135-153.
作者姓名:周爱平  程光  郭晓军
作者单位:东南大学 计算机科学与工程学院, 江苏 南京 211189;教育部计算机网络和信息集成重点实验室(东南大学), 江苏 南京 211189;东南大学 计算机科学与工程学院, 江苏 南京 211189;教育部计算机网络和信息集成重点实验室(东南大学), 江苏 南京 211189;东南大学 计算机科学与工程学院, 江苏 南京 211189;教育部计算机网络和信息集成重点实验室(东南大学), 江苏 南京 211189
基金项目:国家自然科学基金(60973123);国家重点基础研究发展计划(973)(2009CB320505);江苏省科技支撑计划——工业部分(BE2011173);江苏省“六大人才高峰”
摘    要:高速网络流量测量是目前实施实时准确地监测、管理和控制网络的基础.基于网络流量测量的应用,将网络流量测量分为抽样方法和数据流方法.从不同的层次,将抽样方法分为分组抽样和流抽样,分别介绍了两类抽样方法;从测度角度介绍了数据流方法.详细介绍了高速网络流量测量的常用数据结构,以及抽样、数据流方法在高速网络流量测量中的应用,比较了各种方法的优劣.概述了高速网络流量测量技术的研究进展.最后,就现有的网络流量测量方法的不足,对网络流量测量的发展趋势和进一步的研究方向进行了讨论.

关 键 词:网络流量测量  分组抽样  流抽样  数据流
收稿时间:2013/3/22 0:00:00
修稿时间:2013/5/13 0:00:00

High-Speed Network Traffic Measurement Method
ZHOU Ai-Ping,CHENG Guang and GUO Xiao-Jun.High-Speed Network Traffic Measurement Method[J].Journal of Software,2014,25(1):135-153.
Authors:ZHOU Ai-Ping  CHENG Guang and GUO Xiao-Jun
Affiliation:School of Computer Science and Engineering, Southeast University, Nanjing 211189, China;Key Laboratory of Computer Network and Information Integration, Ministry of Education (Southeast University), Nanjing 211189, China;School of Computer Science and Engineering, Southeast University, Nanjing 211189, China;Key Laboratory of Computer Network and Information Integration, Ministry of Education (Southeast University), Nanjing 211189, China;School of Computer Science and Engineering, Southeast University, Nanjing 211189, China;Key Laboratory of Computer Network and Information Integration, Ministry of Education (Southeast University), Nanjing 211189, China
Abstract:Traffic measurement in high-speed network is essential for network monitoring, management, and control. Based on the applications of network traffic measurement, this study divides the measurement into sampling methods and data stream methods. Sampling methods are partitioned into packet sampling and flow sampling, both are introduced. Data stream methods are introduced from different metrics. This study introduces in detail the common data structure and applications based on sampling and data stream methods in high-speed network. Drawbacks of different methods are analyzed and compared. The research progress of high-speed network traffic measurement technology is summarized. Finally, the limitation of recent network traffic measurement methods, the evolving trend of network traffic measurement, and some possible directions of future research are discussed.
Keywords:network traffic measurement  packet sampling  flow sampling  data stream
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