Research On Traffic Analysis And Cache Optimization Strategy Of Information-Centric Network Based On SDN

With the increasing scale of the Internet,the number of network applications is increasing,the network traffic is exploding,and the botnet network has posed more and more serious threat to Internet.The Information-Centric Network(ICN),as the architecture of next generation Internet,has become a mainstream trend that can solve the existing problem of the Internet.The cache problem has been the bottleneck question which restricts the development of ICN,so this paper focuses on the resource allocation of ICN.Software Defined Network(SDN)that the design concepts are separated the control plane and data forwarding plane,is introduced to ICN,and it is convenient and efficient to reasonably plan the reasonable cache resources and coordinately control the traffic distribution.Since the small-world and scale-free characteristics are proposed,the research of complex network,which achieved long term development,has becomed a powerful tool to study the structure and function of various networks.Therefore,the complex network theory is introduced to analyze the traffic characteristics of the ICN and guide the rational planning of the network cache resources,which can effectively improve the network transmission performance and optimize the network traffic distribution.The specific research works are as follows:1)According to the complex network theory,the traffic model of ICN is constructed,and an optimization strategy of the built-in cache space of the information center network based on the betweenness and degree is proposed,and the simulation experiments are carried out with BA scale-free and ER random network models.From the heterogeneity of network structure,the advantages of the strategy are proved.The simulation results show that the strategy can reasonably plan the cache resources,improve the network transmission performance,and effectively alleviate the network congestion.2)Considering the business characteristics of the ICN,the network is divided into control and data planes.The control plane is responsible for the data flow of the network logically.The data plane is responsible for the transmission of actual data.According to the traffic behavior of the ICN,a cache space resource allocation strategy based on local network parameters is proposed to optimize the transmission performance of the network.The simulation results show that the strategy can effectively increase the traffic capacity of the network.3)As a global parameter of the network,the betweenness can directly reflect the load of the network and more accurately represent the central characteristics of the nodes than the degree,and therefore a cache space resource allocation strategy based on the betweenness of nodes is proposed.Under the premise,the whole network topology can be obtained,it can effectively alleviate the network traffic congestion.However,the calculation of the betweenness of nodes is relatively large,which increases the burden of network computing.