随着大数据在软件定义网络(SDN)上的融合应用，网络因无法实时更新流表而导致数据流失效等一系列用户体验(QoE)问题逐渐呈现。为此，文章构思一种在具有突发特性的负载环境下基于停滞超时优化处理的算法，用于提升OpenFlow交换机流表资源可用性。该算法通过动态均衡流表资源和控制资源以及合理设置停滞超时来使数据流与流表项顺利适配，进而提高数据流转发效率。同时，算法将那些与数据流成功适配的流表项封存在流表中，有效地提升了流表在时间上的生存性。实验表明，算法中的停滞超时改善机制在QoE方面较固定停滞超时机制有明显的优化效果。

With the integration of big data in the Software Defined Network (SDN) network applications, a series of Quality of Equipment (QoE)problems are emerging gradually, such as data flow failure which is caused by failure to update the flow table in real time. In order to solve this issue, this paper proposes an algorithm based on stagnation timeout optimization to enhance the availability of OpenFlow switch table resource in a burst load environment. The algorithm can make the data stream and the flow item match smoothly, and then improve the efficiency of data stream forwarding through dynamic balance table flow resource, control resources, and reasonable setting timeout. At the same time, the algorithm seals the flow table entries that are successfully matched with the data flow in the stream table, and effectively improve the survivability of the flow table in time. Experimental results show that the stopping timeout improvement mechanism in the algorithm is more effective than the fixed timeout mechanism in terms of QoE.