A Research Of Mobile Social Network Content Distribution Service And Edge Cache Strategy

In the mobile social network,the exchange and transmission of data are ubiquitous,which stimulates the explosive growth of wireless communication traffic and brings arduous challenges to wireless communication systems.As the problem of network bandwidth and service delay caused by wireless communication traffic becomes more and more serious,the research on caching in mobile networks is becoming popular,such as edge cache technology.In the edge caching technology,by caching popular content at a device closer to the user,such as base stations and user terminals,users can quickly obtain resources,this can effectively reducing service delay and network bandwidth pressure.The main research contributions of this article can be concluded as follows:First of all,this paper researches the concept of mobile social network and edge caching deeply.After combining these two aspects,we designs a mobile social network content distribution service.The service divides users into different regions,selects some important users as cache nodes in each region,and provides cache and data forwarding services for other users.In order to select a suitable cache node to improve the cache hit rate,this paper designs an important cache node algorithm,which measures the user's suitability as a cache node from user social attributes of multiple dimensions such as user friend relationships,social behavior preferences,and device resources.Afterwards,the real data proves that the algorithm can effectively improve the request hit rate of the cache.Then,this paper designs an edge caching strategy based on latent factor model.This strategy analyzes the download records of users in the regin which is covered by a cahe node,and use the lantent factor model to learn and mine the user's download behavior preferences.and then,select and replace cache files based on user's preferences.The experiments show that the cache strategy has a good hit rate and byte hit rate performance.Finally,this paper uses Openfire framework to design and develop a mobile social network content distribution system.This system can provide basic social functions and record users' various social attribute information.At the same time,it also implements the content distribution service designed by this article.In addition,in order to enhance the flexibility and scalability of the system,the cache node selection algorithm and cache replacement algorithm interface are designed to facilitate the expansion and application of the relevant algorithms in the system.