Enhancing Named-Based Caching in NDN

Named Data Networking (NDN) is regarded as a new networking paradigm for future Internet. Designing efficient content caching strategy is critical as query efficiency depends on the distribution structure of named data. Existing solutions, either adopt global path caching (incurs huge of memory consumption) or random content caching (results in imbalance storage), are infeasible in dealing with large-scale namespace. In this paper, we propose a novel caching strategy that jointly considers the content popularity and local potential-field of request/radiation ability of nodes. Specifically, name prefixes are selectively cached on en-route nodes according to their popularity and the target caching nodes are selected from the network with high connection degree so that the requests can be centered on them. Experiment results show that our scheme outperforms the current approaches in term of server hit rate, response delay, and overall memory consumption.