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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chow-Sing Lin Jhe-Wei Lin |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Tainan, Tainan, Taiwan (Chow-Sing Lin; Jhe-Wei Lin) |
| Abstract | In recent years, the BitTorrent (BT) has been one of the most efficient mechanisms for Peer-to-Peer (P2P) non-realtime content distribution. Many approaches for streaming videos over BitTorrent have been proposed by modifying the piece selection policy to cope with the real time requirement. Most of them provide the continuity of video playback at the cost of the variety of pieces on P2P streaming networks. In this paper, we propose the novel urgency-aware BT streaming mechanism, called UR-Aware, which intends to enhance the video streaming efficiency over BitTorrent on P2P networks by balancing playback continuity and distribution of piece rareness. There are two sets for piece downloading, called Uset and Rset. The Uset contains the most urgent pieces of video playback, while the Rset contains the rarest pieces. Downloading bandwidth of a peer is dynamically allocated to the two sets based on the number of consecutive pieces beyond the playback position in Uset. Furthermore, to implicitly preserve the continuity of pieces for future playback, consecutive k pieces are grouped as a section which would be selected to insert into Rset based on its rareness. The experimental results showed that the UR-Aware has the best performance among other BT streaming approaches in terms of video download time and piece late rate. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 350494 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479935727 |
| DOI | 10.1109/ICCCN.2014.6911868 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-04 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Videos Bandwidth Peer-to-peer computing Streaming media Aggregates Quality of service Channel allocation Urgency-Aware Video Streaming Peer-to-Peer BitTorrent Piece Selection |
| Content Type | Text |
| Resource Type | Article |
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