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Elephant Flow Detection Mechanism in SDN-Based Data Center Networks

机译:基于SDN的数据中心网络中的大象流动检测机制

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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.
机译:针对网络拥塞和不平衡负载的问题,由数据中心网络中的大象流动携带的大量数据容量引起的,提出了一种基于SDN的大象流动检测方法。该方法采用自动检测上传(ADU)机制。 ADU分为两部分:ADU-Client和ADU-Server,其中ADU-Client在主机中运行,ADU-Server在SDN控制器中运行。当主机发送大象流程时,ADU-Client会生成具有伪造源IP地址的数据包,并触发边缘交换机的Packet_in消息,以向SDN控制器报告大象流的信息,并且ADU-Server完成大象流程鉴别。实验结果表明,ADU大象流动检测机制可以有效地检测数据中心网络中的大象流,降低检测时间,提高网络性能。

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