A data warehousing approach to discover knowledge in peer-to-peer application

Min Feng Wang, Jui Hwa Feng, Meng Feng Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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 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.

Original languageEnglish
Title of host publicationProceedings - 22nd International Conference on Advanced Information Networking and Applications Workshops/Symposia, AINA 2008
Pages1181-1186
Number of pages6
DOIs
StatePublished - 2008
Event22nd International Conference on Advanced Information Networking and Applications Workshops/Symposia, AINA 2008 - Gino-wan, Okinawa, Japan
Duration: 25 Mar 200828 Mar 2008

Publication series

NameProceedings - International Conference on Advanced Information Networking and Applications, AINA
ISSN (Print)1550-445X

Conference

Conference22nd International Conference on Advanced Information Networking and Applications Workshops/Symposia, AINA 2008
Country/TerritoryJapan
CityGino-wan, Okinawa
Period25/03/0828/03/08

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