Research on load balancing of data center network traffic based on SDN
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原文链接
维普
万方数据
目前数据中心网络(data center network,DCN)的负载均衡方法存在对大小流的调度缺乏全局实时检测等不足,部分大流会造成拥塞、负载不均衡和带宽碎片等问题.针对上述问题,提出了一种SDN网络流量负载均衡算法—DSA-D.首先,对流量进行分类,为大流计算所有源至目的主机可达路径的最短跳数路径集;然后,根据LLDP和ECHO测量链路时延以求得时延最优路径集;最后,采用概率拟合算法分配路径,实现数据中心网络流量负载均衡.在相同场景下的实验结果表明,与ECMP、Hedera和DIFF算法相比,DSA-D算法具有更好的吞吐量、链路带宽利用率和平均往返时延.
At present,the load balancing method of the data center network(DCN)has some problems,such as the lack of global real-time detection for the scheduling of large and small streams.Some large flows may cause congestion,resulting in load imbalance and bandwidth fragmentation.To solve the above problems,a traffic load balancing algorithm called dynamic scheduling algorithm-delay(DSA-D)for software-defined networks(SDN)network is proposed.Firstly,the traffic is classified and the shortest hop path set of the reachable path from the source to the destination host is calculated for the flow.Then,the link delay is measured according to LLDP and ECHO to obtain the delay optimal path set.Finally,the probability fitting algorithm is used to allocate paths to realize the load balancing of data center network traffic.Experimental results in the same scenario show that DSA-D algorithm has better throughput,link bandwidth utilization and average round-trip delay than ECMP,Hedera and DIFFER algorithms.
software defined networkdata centertiming optimizationload balancing
维普
万方数据
