This paper studied the adjustment of flow table in the software defined networking (SDN).A SDN optimization of the flow table algorithm (SOOTFTA) based on prediction and dynamic load factor was proposed to address the problem that switch do not have enough space in the flow table for newly arrived flows.Firstly,the SOOTFTA collects the various newly arrived flows during per unit of time.Based on the information,the SOOTFTA estimates the number of newly arrived flows in the next time unit by using the second moving average method (SMA).Finally,the SOOT-FTA dynamically adjust the idle timeout of the flows in the table based on the dynamic load factor.Experimental result show that the flow table matching rate and data forwarding rate are improved by using the proposed SOOTFTA,increasing the number of activities in the flow table.%通过对SDN流表更新的研究,发现了网络流量高峰期流表更新不及时的问题.提出了一种基于预测与动态调整负载因子的SDN流表优化算法.算法首先收集每个单位时间内的新增流条目,然后用二次移动平均算法对收集的历史数据进行分析,并估计下一个单位时间内新增的流条目,最终根据负载因子动态调整交换机流表中流条目的停滞超时时间.实验结果表明,该算法提高了流表匹配率和数据成功转发率,增加了活动流表项的数量.
展开▼
