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

fYear

2008

fDate

25-28 March 2008

Firstpage

1181

Lastpage

1186

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WAINA.2008.143

Filename

4483079