A New Architecture for Distributed Computing in Named Data Networking

Yuxiang Ma, Yulei Wu, Jun Li, Jingguo Ge

Abstract: With the development of new technologies such as big data, data mining and artificial intelligence, there is a great demand for distributed computing. Named Data Networking (NDN) is a promising future Internet architecture and is receiving more and more research attentions. In this paper, we propose a new architecture to support distributed computing in NDN. Due to the nature of NDN, the computing nodes can be selected in proximity to consumers/users. In addition, we propose a new privacy protection scheme that allows users to anonymously access network resources, e.g., computing resources. The effectiveness and overhead of this architecture and the devised privacy protection scheme are evaluated. The results demonstrate the feasibility of the proposed architecture.