基于社会关系感知的边缘网络缓存策略

针对当前的边缘缓存策略存在的传输时延高、对较小区域中用户社会关系感知不足的问题,结合热点内容平均流行度和用户兴趣度,提出基于社会关系感知的边缘缓存策略.首先,根据热点内容平均流行度和用户兴趣度,估算用户需求,用户需求相似度反映了用户的社交关系强度;然后,依据用户的关系强度选择用户作为辅助缓存位置;最后,综合考虑缓存位置的选取和用户需求的选择,设计了基站协作缓存、用户辅助缓存的联合缓存策略.仿真实验表明,所提缓存策略相比较于传统的缓存策略在缓存命中率和系统缓存时延上均有一定的提升.

Edge network caching strategy based on social relationship perception

Aiming at the problems of current edge cache strategy with high transmission delay and insufficient user social relation in small areas, this paper proposed an edge cache strategy based on social relation perception which combined with average popularity of hot content and user interest. Firstly, according to the average popularity of hot content and the interest of users, this paper estimated the needs of users. The similarity of users'' demands reflected the strength of users'' social relationships. Then, it selected the user as the secondary cache location based on the relationship strength of the user. Finally, considering the selection of cache location and user requirements, this paper proposed a joint cache strategy with base station cooperative cache and user-assisted cache. Simulation results show that the proposed caching strategy is superior to the traditional ones with regard to the cache hit ratio and system cache delay.