Adaptive Sliding Piece Selection Window for BitTorrent Systems
(AMIJ • 2011
Publication Information
Authors
Ahmed Z Bayoumy, May A Salama, Hala H Zayed
Keywords
BitTorrent, Sliding Window, Video on Demand, Peer to Peer
Journal
(AMIJ
Publisher
CSC Journals, Kuala Lumpur, Malaysia
Volume
2
Issue
1
Pages
18
publication.type
International
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
Peer to peer BitTorrent (P2P BT) systems are used for video-on-Demand (VoD) services. Scalability problem could face this system and would cause media servers not to be able to respond to the users’ requests on time. Current sliding window methods face problems like waiting for the window pieces to be totally downloaded before sliding to the next pieces and determining the window size that affects the video streaming performance. In this paper, a modification is developed for BT systems to select video files based on sliding window method. Developed system proposes using two sliding windows, High and Low, running simultaneously. Each window collects video pieces based on the user available bandwidth, video bit rate and a parameter that determines media player buffered seconds. System performance is measured and evaluated against other piece selection sliding window methods. Results show that our method outperforms the benchmarked sliding window methods
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