内容中心网络中基于节点相似度的协作缓存算法

针对内容中心网络中ALWAYS缓存策略节点存储空间利用率低、内容访问时延大、整体网络缓存性能低下的问题,提出了一种依据节点相似度的协作缓存算法。该算法优先将兴趣包转发至最相似节点,增大相关请求的就近响应概率；同时保证在缓存决策中的同一副本在协作节点间不重复存储,在降低冗余的同时增加了缓存多样性。实验结果表明,与现有算法相比,该算法在减少路由跳数和请求时延的同时提高了缓存命中率。

Collaborative Caching Algorithm Based on Node Similarity in Content Centric Networking

The default ALWAYS caching scheme (caching everything everywhere) in CCN results in the low storage utilization,the large content access latency and the inefficient caching performance as well.This paper proposed a colla-borative caching algorithm based on node similarity (CCANS).The interest packet is forwarded to the most similar node to increase the hit rate for correlate requests.Curbing the same duplication between collaborative nodes,the algorithm reduces the redundancy while increasing the diversity.The simulation results show that,compared with the exis-ting algorithm,the proposed algorithm decreases the route hops,reduces the request latency and achieves higher cache hit ratio.