Recently, BitTorrent has emerged as a very popular and scalable peer-to-peer file distribution mechanism. It has been successful at distributing large file quickly and efficiently. With large number users of BitTorrent, there should be much information about the user data flowing through network. The rich information may imply the users’ habitual behavior, data access pattern, interested file, and so on. The information is useful for general users, network managers, and designer, etc. Hence, we propose a framework on BitTorrent which combined with data warehouse and data mining techniques to offer an efficient and systematic analysis for users.
