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Elephant Flow Detection Mechanism in SDN-Based Data Center Networks
Scientific Programming ( IF 1.672 ) Pub Date : 2020-09-01 , DOI: 10.1155/2020/8888375
Qian Tang 1 , Huan Zhang 1 , Jun Dong 1 , Lianming Zhang 1
Affiliation  

Aiming at the problem of network congestion and unbalanced load caused by a large amount of data capacity carried in elephant flow in the data center network, an elephant flow detection method based on SDN is proposed. This method adopts the autodetect upload (ADU) mechanism. ADU is divided into two parts: ADU-Client and ADU-Server, in which ADU-Client runs in the host computer and ADU-Server runs in the SDN controller. When the host sends the elephant flow, the ADU-Client generates a packet with forged source IP address and triggers the Packet_in message of the edge switch to report the information of the elephant flow to the SDN controller and the ADU-Server completes the elephant flow identification. Experimental results show that the ADU elephant flow detection mechanism can effectively detect elephant flow in the data center network, reduce detection time, and improve network performance.

中文翻译:

基于SDN的数据中心网络中的大象流检测机制

针对数据中心网络中象流承载大量数据容量导致的网络拥塞和负载不均衡问题,提出了一种基于SDN的象流检测方法。该方法采用自动检测上传(ADU)机制。ADU分为ADU-Client和ADU-Server两部分,ADU-Client运行在上位机中,ADU-Server运行在SDN控制器中。当主机发送大流时,ADU-Client生成伪造源IP地址的报文,触发边缘交换机的Packet_in消息,将大流信息上报给SDN控制器,ADU-Server完成大流鉴别。实验结果表明,ADU大象流检测机制能够有效检测数据中心网络中的大象流,
更新日期:2020-09-01
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