Research On Caching Strategy In Mobile Content Centric Networks

With the rapid development of the Internet and the emergence of various new services,the traffic in the network is increasing explosively.This has brought tremendous challenges to the computing,transmission,and storage capabilities of the network.In order to fundamentally solve these problems,domestic and foreign researchers have been devoted to the research on the next generation of Internet architecture.Content-Centric Networking(CCN)is the most representative next-generation network architecture.Using the in-network caching to improve the content acquisition and transmission efficiency is a typical feature for CCN.With the increasing number of mobile users and the rapid development of the mobile Internet,mobile users will also access the CCN network in the future.Existing cache strategies in the CCN wired network will no longer adapt the needs of the mobile CCN network caching because they do not consider user mobility.Therefore,how to develop a caching strategy to support user mobility has become a core research issue.In response to the above problems,a caching strategy for mobile CCN networks is proposed.The caching strategy includes two parts.The first part is a content-based mobility caching strategy that uses semi-Markov models to model user mobility and establishes a mathematical model between user mobility and content popularity.Calculate the content popularity added with user mobility,while using a multiple linear regression model to predict the content popularity of the next period.Then,the predicted content popularity list is used to guide the content caching to further solve the problem of inefficient cache hits due to user mobility.The second part is based on the pre-fetching caching strategy and combines web pre-fetch ideas into the CCN.A set of complete prefetch mechanisms is proposed,which is from popularity list to pre-fetch list,congestion control and prefetching specific operations.In addition,the concrete operation for content pre-fetching is presented and analyzed in the second part to solve the problem of large content acquisition delay caused by request interruption due to user mobility.Experimental results show that the proposed mobility caching strategy based on content popularity and pre-fetch operation can effectively support user mobility,improve the cache hit rate of the local network by about 40% to 50%,and effectively reduce the time delay for users to obtain content can provide users with better service quality.