SR架构下的软件定义信息中心网络概率路由策略

传统的TCP/IP路由以IP地址为中心，信息传输效率低下，难以满足网络用户需求。信息中心网络（Information-Centric Network,ICN）开始成为研究热点，ICN以内容为中心，可以高效传输信息。为了利用软件定义网络（Software Defined Network,SDN）和分段路由技术的优势，提高SDN控制器效率，减少网络传输时延，提出了一种可以应用于ICN的集中式架构。为进一步利用无标度网络对ICN进行建模，提出了一种基于数控分离的自适应概率路由算法。该算法通过迭代的方法调节数据包在节点发送的概率，使网络获取更佳性能。仿真结果表明，与最短路径算法和效率路由算法相比，该算法可以提升网络容量，有效降低平均路径长度。

Software Defined Information-Centric Network Probability Routing Strategy under SR

Traditional TCP/IP routing takes IP address as the center and the information transmission efficiency is low,which can not meet the needs of network users.Information-centric network(ICN) have become a research hotspot.ICN is content-centered and can transmit information efficiently.In order to take advantage of software defined network(SDN) and segment routing(SR),improve the efficiency of SDN controller and reduce the network transmission delay,a centralized architecture suitable for ICN is proposed.Furthermore,scale-free network is used to model ICN,and an adaptive probability routing algorithm based on numerical control separation is proposed.The algorithm adjusts the probability of sending data packets by nodes in an iterative way,so that the network can achieve better performance.The simulation results show that,compared with the shortest path routing strategy and the efficient routing,the proposed algorithm can increase the network capacity and effectively reduce the average path length.