数据中心网络中基于SDN的大象流负载均衡的研究

针对数据中心网络中大象流携带大量数据造成网络拥塞和负载不均衡的问题，提出基于SDN(software defined network)的大象流负载均衡(elephant flow load balancing ，EFLB)。当网络负载超过阈值时，控制器利用Openflow特性将检测到的大象流分裂为多个老鼠流，并根据收集的网络拓扑和链路状态动态地计算负载最小的下一跳交换机，确保负载均衡。实验结果表明，相比于等价多路径路算法(equal-cost mulit-path routing ，ECMP)，EFLB机制提高网络吞吐量和链路利用率，更好地实现网络负载均衡。

Research on load balancing of elephant flow based on SDN In Data Center Network

To solve the problems of network congestion and load imbalance caused by elephant flow that carries large amounts of data in data center networks. This paper proposed an SDN based load balancing mechanism of elephant flow(EFLB) . When network load exceeded the threshold, the controller split the detected elephant flows down into multiple mice flows by Openflow feature and calculated dynamically the minimum load switch according to the collected network topology and link states to ensure load balancing. Experimental results show that the EFLB achieves network load balancing by improving the network throughput and link utilization compared with ECMP((equal-cost mulit-path routing) .