基于内容分块流行度分级的信息中心网络缓存策略

LICA: A Segment-Popularity Based Caching Scheme in ICN

信息中心网络(ICN:Information-Centric Networking)域内缓存机制的研究大多假定单个内容的流行度相同,而忽视了同一内容的不同分块具有不同流行度的特性.本文提出了一种基于内容分块流行度以及缓存节点位置的分级缓存策略,通过兴趣包和数据包携带标签的方式实现隐式缓存协作.仿真实验证明相比于其他方案,该方案可以充分利用细粒度的内容分块流行度这一特性,提高缓存路由器缓存命中率,减小用户请求内容时延以及网络流量,进而提升用户对实时业务的服务体验.

In-network caching schemes in information-centric networking（ ICN） often consider the popularity granularity in the content level,which ignores the character that different parts of a content may have different popularity. This paper proposes a segment Level-based Implicit Cooperation c Ache（ LICA） scheme. LICA assigns a cache router a level based on its location and archives implicit cooperation with tags in interest and data packets. We compare LICA with other caching schemes and the simulation results showthat LICA has higher average hit ratio,lower average hop count of content retrieval,and reduces the network traffic than other schemes,which will improve the experience of users in real-time streaming media service.