Data Distribution In Future Internet

As people retrive information more and more from the Internet, the Internet bears more and more pressure. In fact, there is temporal correlations and space relativity in the information access, the data just visited in some region is likely to be visted soon there. If users must get the information from the original server, the same data is translated in the network again and again, it is a waste of networking resource, and the original server is under huge pressure of visiting. Cache in network can mitigate the problem in part. As the reorganization of people gradually changes from the host-based location (IP address) to Internet content, networking caching is more and more important. The Future Internet emerges at the right moment. It is aimed at content’s delivery and retrieve, and the content becomes the center of the Future Internet. So this paper is centered on content delivey.These years, many researches on the Future Internet appear, most of them focus on networking caching. Caching in the Future network especially ICN takes several new characteristics:Transparency, ubiquity and fine granularity. There is a network of cache in the Future network, it can improve the effectivity of distribution for information. The research focus of this field includes cache size of each node, caching decision policy and cache replacement algorithm, and so on. But the researches in the Future Internet are limited on the static topology, the research about mobie scene where nodes in the network can move quickly (e.g. VANET) is rare.For the content delivery in mobile scenarios, the paper introduces social relationship based cooperative caching mechanism. The cooperative caching mechanism can improve the stability of the link between mobile nodes, expand the scope for content search, make the information distribution more effective in a sparse network. Finally, simulations for ubiquitious caching mechanism and coorperative caching mechanism are conducted in the ndnSIM simulation environment, and verified the advantage of coorperative caching mechanism on content distribution.