Selective Caching with Hop Counts in Information Centric Networking

Abstract

Information Centric Networking (ICN) is a promising approach to the future Internet. In the original ICN architecture, each router has a caching function. The same data is stored at all routers along a path. To remove this apparent redundancy in the ICN architecture, this paper proposes a new caching method in ICN, which reduces duplication of data among neighboring routers. The proposed method realizes selective caching based on hop counts along a path in ICN. It also distributes cached data among neighboring routers using an offset value. The new method tunes the parameters to reflect the popularity of contents. In an evaluation study, we confirmed that our approach performs an efficient caching function in ICN.