Content cache as well as data cache is vital to Content Centric Network (CCN). A sophisticated cache scheme is necessary but unsatisfied currently. Existing content cache scheme wastes router’s cache capacity due to redundant replica data in CCN routers. The paper presents an intelligent data cache scheme, viz content popularity and user location (CPUL) scheme. It tackles the cache problem of CCN routers for pursuing better hit rate and storage utilization. The proposed CPUL scheme not only considers the location where user sends request but also classifies data into popular and normal content with correspond to different cache policies. Simulation results showed that the CPUL scheme yields the highest cache hit rate and the lowest total size of cache data with compared to the original cache scheme in CCN and the Most Popular Content (MPC) scheme. The CPUL scheme is superior to both compared schemes in terms of around 8% to 13% higher hit rate and around 4% to 16% lower cache size. In addition, the CPUL scheme achieves more than 20% and 10% higher cache utilization when the released cache size increases and the categories of requested data increases, respectively.

中文翻译：

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基于内容流行度和用户位置的智能数据缓存，适用于Content Centric Networks

内容缓存和数据缓存对于以内容为中心的网络（CCN）至关重要。复杂的高速缓存方案是必要的，但目前尚不满足。现有的内容缓存方案由于CCN路由器中的冗余副本数据而浪费了路由器的缓存容量。本文提出了一种智能数据缓存方案，即内容流行度和用户位置（CPUL）方案。它解决了CCN路由器的缓存问题，以追求更高的命中率和存储利用率。提出的CPUL方案不仅考虑用户发送请求的位置，而且将数据分类为流行内容和正常内容，并与不同的缓存策略相对应。仿真结果表明，与CCN中的原始缓存方案和最流行内容（MPC）方案相比，CPUL方案产生的缓存命中率最高，缓存数据的总大小最低。CPUL方案在命中率提高约8％至13％且缓存大小降低约4％至16％方面优于两种比较方案。此外，当释放的缓存大小增加且请求数据的类别增加时，CPUL方案分别将缓存利用率提高了20％和10％以上。