提出了一种基于相关内容聚集的缓存方案,通过具有相同特征相关内容的相互吸引,使相关内容在节点上聚集,从而方便对缓存内容进行内容特征抽象,以减少向外通告的路由信息量,提高面向内容网络的路由可扩展能力;同时通过相关内容生存时间相互增强的策略,增强了缓存内容的稳定性,提高了其路由可信度.在此基础上设计了通用的相关内容聚集算法,仿真结果符合预期效果.
A related contents gathering based cache policy called cache gathering (CG) was proposed to solve the routing scalability problem brought by existing cache policies in content centric network. By the mutual attraction between the contents with same feature, called related contents, the related contents gathered on nodes, which facilitated the cache contents feature abstraction, so the routing advertisement was decreased and the routing scalability was improved. Meanwhile, with the strategy of lifetime-in- creasement between contents with main feature, CG was able to reduce the update frequency of cache content, so the routing reliability was improved. On this basis, the general CG algorithm was proposed. The simulation proved the reasonableness and efficiency of the schemes in this thesis.