Skip to main content

University of Minnesota / Driven to DiscoverUniversity of Minnesota

Libraries

View Item 
Enhancing Bittorrent-Like Peer-To-Peer Content Distribution With Cloud Computing
Peng, Zhiyuan (2018)
Thumbnail
View/Download file
Persistent link to this item
https://hdl.handle.net/11299/201737
Services
Title
Enhancing Bittorrent-Like Peer-To-Peer Content Distribution With Cloud Computing
Authors
Issue Date
2018-11
Type
Thesis or Dissertation
Abstract
BitTorrent is the most popular P2P file sharing and distribution application. However, the classic BitTorrent protocol favors peers with large upload bandwidth. Certain peers may experience poor download performance due to the disparity between users’ upload/download bandwidth. The major objective of this study is to improve the download performance of BitTorrent users who have limited upload bandwidth. To achieve this goal, a modified peer selection algorithm and a cloud assisted P2P network system is proposed in this study. In this system, we dynamically create additional peers on cloud that are dedicated to boost the download speed of the requested user.
Appears in collections
Master's Theses (Plan A and Professional Engineering Design Projects) [4076]
Description
University of Minnesota M.S. thesis. November 2018. Major: Computer Science. Advisor: Haiyang Wang. 1 computer file (PDF); iv, 42 pages.
Suggested Citation
Peng, Zhiyuan. (2018). Enhancing Bittorrent-Like Peer-To-Peer Content Distribution With Cloud Computing. Retrieved from the University of Minnesota Digital Conservancy, https://hdl.handle.net/11299/201737.
Content distributed via the University of Minnesota's Digital Conservancy may be subject to additional license and use restrictions applied by the depositor.