通信学报 ›› 2017, Vol. 38 ›› Issue (10): 113-121.doi: 10.11959/j.issn.1000-436x.2017203

• 学术论文 • 上一篇    下一篇

基于sketch的软件定义测量数据平面硬件模型

戴冕1,2,程光1,2   

  1. 1 东南大学计算机科学与工程学院,江苏 南京 211189
    2 东南大学教育部计算机网络和信息集成重点实验室,江苏 南京 211189
  • 修回日期:2017-06-15 出版日期:2017-10-01 发布日期:2017-11-16
  • 作者简介:戴冕(1988-),男,江苏南京人,东南大学博士生,主要研究方向为软件定义网络、数据中心网络和网络测量技术等。|程光(1973-),男,安徽黄山人,东南大学教授、博士生导师,主要研究方向为网络测量、网络安全和网络管理等。
  • 基金资助:
    国家高技术研究发展计划(“863”计划)基金资助项目(2015AA015603);赛尔网络下一代互联网技术创新基金资助项目(NGII20150108)

Sketch-based data plane hardware model for software-defined measurement

Mian DAI1,2,Guang CHENG1,2   

  1. 1 School of Computer Science and Engineering,Southeast University,Nanjing 211189,China
    2 Key Laboratory of Computer Network and Information Integration of Ministry of Education,Southeast University,Nanjing 211189,China
  • Revised:2017-06-15 Online:2017-10-01 Published:2017-11-16
  • Supported by:
    The National High-Tech R&D Program of China (863 Program)(2015AA015603);CERNET Innovation Project(NGII20150108)

摘要:

提出一种基于sketch数据结构的软件定义测量数据平面硬件模型,并在以现场可编程逻辑门阵列(FPGA)为核心的可编程网络设备NetMagic上进行了实现。利用部署在硬件FPGA高速SRAM中的通用sketch数据结构高效地采集数据平面流量数据,控制平面收集并缓存统计数据,提供给上层的测量应用使用。使用count-min sketch和2-universal散列函数实现了在高速流量下实时的分组处理和流量统计;使用Bloom filter在控制平面恢复流量的原始5元组信息,解决了sketch数据结构的不可逆问题。使用CERNET骨干网流量数据对原型系统进行的评估结果表明,该原型系统使用极其有限的硬件资源实现了对较大规模网络流量的实时测量,同时具备较好的测量精度。

关键词: 软件定义测量, 现场可编程逻辑门阵列, 全域散列

Abstract:

A sketch-based data plane hardware model for software-defined measurement was introduced,and it was implemented in the programmable network device NetMagic.A generic sketch model for collecting flow-level data using high-speed memories on the FPGA was proposed,the control plane collected and cached the data for further process.Count-min sketch and 2-universal hash functions in the SRAM of FPGA for real-time traffic counting of high-speed traffic were implemented; Bloom filter was used to rebuild the original 5-tuple data which solved the irreversibility of sketch.The CERNET backbone trace to evaluate the prototype system was used,the result shows that it has the ability to use the limited hardware resource to measure a large amount of network traffic data with a proper measurement accuracy at the same time.

Key words: software-defined measurement, FPGA, universal hash

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