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The Usage and Behavior Patterns of Mobile BitTorrent Clients
- Source :
- Journal of Advanced Computational Intelligence and Intelligent Informatics. 18:320-323
- Publication Year :
- 2014
- Publisher :
- Fuji Technology Press Ltd., 2014.
-
Abstract
- With the many changes in mobile phone use, it is now common for users to connect to the Internet and share social and multimedia data, and peer-to-peer technology remains one of the most efficient solutions to content sharing. We analysed the lifecycle of content shared using the BitTorrent network, focusing on torrents retrieved by mobile phone clients using our MobTorrent application. MobTorrent, a complete Bit-Torrent client for feature phones, enables anonymous usage statistics to be collected. Based on statistics collected over the last three years, we analyze how mobile BitTorrent clients are being used. We discuss the success of individual sessions by additionally measuring peer connection download and success ratio statistics. This research can be considered as a pioneer work in the field of mobile content sharing solutions.
- Subjects :
- BitTorrent tracker
Computer science
business.industry
BitTorrent protocol encryption
computer.file_format
Peer-to-peer
computer.software_genre
Human-Computer Interaction
World Wide Web
Artificial Intelligence
Computer Vision and Pattern Recognition
Feature phone
business
computer
BitTorrent
Computer network
Subjects
Details
- ISSN :
- 18838014 and 13430130
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- Journal of Advanced Computational Intelligence and Intelligent Informatics
- Accession number :
- edsair.doi...........e73c3af1cf67d7fc008dbaf3ec6035b9