Research On Content-centric Network Caching Method Based On Multi-factor Collaboration

With the rapid development of network technology,user needs have shifted from traditional text information to multimedia information mainly based on audio and video.The constantly changing needs of users make traditional IP-based network architectures insufficient in terms of mobility support,multi-path routing,and network performance optimization.Therefore,a Content-centric Network(CCN)is proposed.The biggest feature of the CCN network that is different from the traditional TCP/IP network is that it has a caching mechanism.However,the existing CCN network caching methods have problems such as low cache hit rate,extended request time,and consideration of a single impact factor.Aiming at the problems existing in the existing CCN network caching methods,and based on the multi-factor synergy,this article separately studies the caching decision method and cache replacement method in the cache.(1)Aiming at LCE,Betw,ProbCache caching decision methods considering the problem of single impact factor and extended request time,combined with user preferences,content popularity,cache saturation and other factors,this paper proposes a multi-factor collaborative content center network caching decision method(CSNC).The method combines the user request,node hit rate,time interval and node cache status and other influencing factors,and periodically counts the user preference,content popularity and node cache influencing factors.The cache location of the content is determined through the cooperative matching of multiple factors in the node.The simulation results show that the CSNC cache decision method can effectively improve the cache content hit ratio and reduce the user request delay.(2)Aiming at the problems of insufficient space utilization and low cache hit rate of FIFO,LRU and LFU cache replacement methods,combined with content popularity,cache cost and interval time and other factors,this paper proposes a multi-factor collaborative cache replacement method(NTM).This method combines the content popularity,cache cost and interval time factor to obtain the content storage value,and builds a notification transfer mechanism model of the replaced content based on the content storage value and routing hops.The content replaced in this method can be transferred along the active path that depends on the content,traversing to find other nodes suitable for storage,so that other nodes or the same node can request again.Simulation results show that the NTM cache replacement method can effectively improve network space utilization and reduce routing hops.