Efficient forwarding and popularity based caching for Content Centric Network

In Content Centric Network, caching and forwarding schemes can affect the performance of the whole network. The original caching and forwarding schemes are simple, but these schemes have some drawbacks. Firstly, the original caching scheme stores the same content on several neighboring routers along the request path. This redundant caching does not use the limited storage space available to the routers efficiently. Secondly, the original forwarding scheme in which the data requests are flooded to neighboring routers, also degrades the performance of the network. In this paper, we aim to solve the issues of using cache space of each router efficiently and forwarding the data requests effectively. In this proposal, we divided an Autonomous System (AS) in several groups of routers to cache the popular contents. Routers in a group cooperatively store the data and forward the Interest in order to increase the network performance. To improve the cache hit, the group of routers only store the popular contents and reduce the duplicate content without effecting the redundancy. We used Consistent Hashing to reduce overlapping contents and forward the request efficiently. The content popularity prediction algorithm assists the routers to store the popular contents that pass through them. Finally, we evaluated the performance of our proposed scheme by using a chunk level simulator.