On Content Diffusion Modelling in Information-Centric Networks
Bo Chen, Liang Liu, Haizhou Wang, Huadóng Ma · 2017
Information-centric networking (ICN), as a major branch of the future network architecture, shifts from address-based communication to named content retrieval. The special characteristics of ICN, such as named content, in-network cache and receiver-driven, make the content diffusion process in ICN be different from traditional point-to-point packet transmission. Thus existing transmission analysis theory cannot illustrate the content diffusion process of ICN accurately. Inspired by the epidemic-like spread model, whose infected-recovered process is similar to ICN's cached-evicted process, we propose a content diffusion model (CDM) to illustrate the content diffusion process in ICN. We also evaluate the accuracy of CDM by a lightweight ICN simulator developed. The results show that our proposed CDM can illustrate the content diffusion process in ICN accurately.