网络与信息安全学报 ›› 2017, Vol. 3 ›› Issue (5): 70-76.doi: 10.11959/j.issn.2096-109x.2017.00167

• 学术论文 • 上一篇    

TPEFD:an SDN-based efficient elephant flow detection method

TIANYu1,LIUJing1,2,3,LAIYing-xu1,2,3,BAOZhen-shan1,ZHANGWen-bo1   

  1. 1 Faculty of Information Technology,Beijing University of Technology,Beijing 100124,China
    2 Key Laboratory of Trusted Computing,Beijing 100124,China
    3 Information Security Rank Protection Key Technology National Engineering Laboratory,Beijing 100124,China
  • 修回日期:2017-02-15 出版日期:2017-05-01 发布日期:2017-05-13
  • 作者简介:TIAN Yu (1990-),born in Shandong. She is a master student in Beijing University of Technology. Her research interests include computer networks and security.|LIU Jing (1978-),born in Beijing,Master degree. She is a lecturer in Beijing University of Technology. Her research interests include network security,trusted computing.|LAI Yingxu (1973-),born in Liaoning. Ph.D degree. She is a professor in Beijing University of Technology. Her research interests include network access control,virus defense technology,network security engineering,trusted computing theory and applications.|BAO Zhenshan (1965-),born in Beijing. He is a vice professor in Beijing University of Technology. His research interests include embedded system,computer network,industrial control computer,ruggedized computer.|ZHANG Wenbo (1980-),born in Henan. Ph.D degree. She is a lecturer in Beijing University of Technology. Her research interests include heterogeneous computing,embedded systems,trusted computing theory and application.
  • 基金资助:
    The Natural Science Foundation of Beijing(4162006);The Natural Science Foundation of Qinghai Province(2017-ZJ-912)

  • Revised:2017-02-15 Online:2017-05-01 Published:2017-05-13

摘要:

Software-defined networking (SDN) is a new approach to configure and operate programmable switches of the networks (especially the data center networks) through a centralized software controller.Elephant flows normally exist in data center networks and take up a large amount of network bandwidth,so the elephant flow detection is very important to ease network congestion.A two-phase real-time detection (TPEFD) method was proposed to detect the elephant flows in the SDN-based network.First,the controller obtained aggregated statistics and shrank sample scope until it was small enough,packets were sampled in the scope in switches.In order to identify the elephant flows,the sFlow sampling results were compared with the dynamic threshold.If the sampling value exceeded the threshold value,the flow was recognized as an elephant flow.The efficiency of our method in an SDN experimental environment was evaluated.The experimental results indicated that the proposed method was feasible and the detection time was efficient.

关键词: Open Flow, elephant flows, flow detection, data center

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