Community Preference-Based Information-Centric Networking Cache

Information-centric networking (ICN) framework has been proposed to connect data content and network users together, which leads to great efficiency in comparison to conventional network. Cache policy performances as an essential part of ICN, and many studies have been conducted to research this. However, there are still two problems remaining unsolved, 1) ignoring the network user community features, 2) without considering the correlations between users and data content. To optimize these shortcomings, a community preference-based ICN cache policy was proposed. This policy will comprehensively consider the data content features and user community preference and then utilize recommendation system to cache the data into corresponding servers. Moreover, policy advantages and simulation will also be evaluated in this paper.