Research On User Internet Data Analysis And Process System In Content-Centric Network

User interest data reflects the user’s intention for specific resources in the network. Therefore, it’s important to improve user experience. However, in traditional TCP/IP network, user interest data is scattered among different Network Content Provider with varied structures, there is no method to gain a global, sight of user interest. Content-Centric Network (CCN) is a new network that resolves several issues of current network, like mobility, usability, flexibility and security. It names data chucks and forwards data based on the names. The names are hierarchical with information about the content, including the source, type and feature.In this thesis, a System for Process and Analysis of Interest Data in Content-Centric Network (SPAID) is designed and implemented. It originates, collects user interest data in CCN, and do process and analysis to moitor and forcast user interest, and then use the result to re-deploy sources and recommend hotspot content.The experiment part verified the system’s usability and carried process and analysis on real user interest data from a video website.At last, we concluded the work in this thesis, and proposed several issues open for study.