FCM认知算法在软件定义网络中的应用研究  

Application Research of FCM-based Cognitive Algorithm in Software Defined Network

作　　者：何红 赵佐[2] HE Hong;ZHAO Zuo(College of Electronic Engineering,Xi’an Aeronautical University,Xi’an 710077,China;College of Computer,Northwestern Polytechnical University,Xi’an 710072,China)

机构地区：[1]西安航空学院电子工程学院,西安710077 [2]西北工业大学计算机学院,西安710072

出　　处：《光通信研究》2020年第5期12-16,共5页Study on Optical Communications

基　　金：国家自然科学基金资助项目(61103178);西安市科技计划资助项目(201805032YD10CG16(2))。

摘　　要：针对网络控制平面可能被迫设置较低信道比特率和改进调制格式的问题,文章提出了一种基于模糊C均值(FCM)的认知算法,在软件定义光网络(SDON)中进行学习和决策制定。首先,将FCM算法加入到SDON控制平面,以实现比非认知性控制平面更好的网络性能;然后,利用FCM算法,根据光信道传输质量,实时和自主地确定高速灵活速率的转发器的调制格式;最后,通过长距离传输网络的计算模拟,对FCM算法的性能进行了评价,并将其与SDON中常用的基于案例的推理(CBR)算法进行了比较。结果表明,与CBR算法相比,FCM算法在快速性和误差避免方面性能更优。The network control plane may be forced to lower the bit rate per channel and the order of modulation format.A cognitive algorithm based on Fuzzy C Mean(FCM)technology is proposed to make learning and decision making in the Software Defined Optical Network(SDON).First,the FCM algorithm is added to the SDON control plane to achieve better network performance than the non-cognitive control plane.Then,according to the transmission quality of the optical channel,the modulation format of the high-speed flexible rate repeater is determined independently in real time by using FCM algorithm.Finally,the performance of the FCM algorithm is evaluated through the computation of the long distance transmission network,which is then compared with the common Case Based Reasoning(CBR)algorithm in the optical cognitive network.The results show that FCM algorithm performs better in speediness and error avoidance compared with CBR algorithm.

关 键 词：模糊均值技术 认知算法 软件定义光网络 调制格式 基于案例的推理算法 

分 类 号：TN248.4[电子电信—物理电子学]