Title :
A Data Warehousing Approach to Discover Knowledge in Peer-to-Peer Application
Author :
Wang, Min-Feng ; Feng, Jui-Hwa ; Tsai, Meng-Feng
Author_Institution :
Nat. Central Univ., Jhongli
Abstract :
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 an increasing number of users of BitTorrent, there should be much information about the user data flowing through the network. The rich information may imply the users´ habitual behaviors, data access patterns, interested files, and so on. The information is useful for general users, network managers, and designers, etc. Hence, we propose a framework on BitTorrent which combines data warehouse and data mining techniques to offer an efficient and systematic analysis for users.
Keywords :
data mining; data warehouses; peer-to-peer computing; BitTorrent; data access patterns; data mining; data warehousing; knowledge discovery; peer-to-peer file distribution; rich information; user data information; user habitual behaviors; Application software; Association rules; Bandwidth; Data analysis; Data mining; Data warehouses; Internet; Multidimensional systems; Peer to peer computing; Warehousing;
Conference_Titel :
Advanced Information Networking and Applications - Workshops, 2008. AINAW 2008. 22nd International Conference on
Conference_Location :
Okinawa
Print_ISBN :
978-0-7695-3096-3
DOI :
10.1109/WAINA.2008.143
