Generalized Sequence-Based and Reverse Sequence-Based Models for Broadcasting Hot Videos

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Computer Science and Information Engineering > journal & Dissertation > Item 987654321/29119

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29119

Title:	Generalized Sequence-Based and Reverse Sequence-Based Models for Broadcasting Hot Videos
Authors:	Yu,HF;Ho,PH;Yang,HC
Contributors:	資訊工程研究所
Keywords:	SEAMLESS CHANNEL TRANSITION;ON-DEMAND;RECEIVING SCHEME;POPULAR VIDEOS;SERVICE
Date:	2009
Issue Date:	2010-06-29 20:14:11 (UTC+8)
Publisher:	中央大學
Abstract:	It has been well recognized as an efficient approach for broadcasting popular videos by partitioning a video data stream into multiple segments and launching each segment through an individual channel simultaneously and periodically. Based on the design premises, some recent studies, including skyscraper broadcasting (SkB), client-centric approach (CCA), greedy disk-conserving broadcasting (GDB), and reverse fast broadcasting (RFB) schemes, etc., have been reported. To study the client segment downloading process, this paper first introduces an applicable sequence-based broadcasting model that can be used to minimize the required buffer size. By extending RFB, this paper further proposes a reverse sequence-based broadcasting model, which can generally improve the existing schemes such as SkB, CCA, GDB, and FB in terms of the relaxed client buffer size. To have a deeper understanding on the proposed reverse model, the upper bound of the client buffer requirement is obtained through a comprehensive analysis, which is proved to be much smaller than the conventional sequence model by 25% to 50%. Based on the proposed reverse model, a reverse sequence-based broadcasting scheme is developed for achieving smaller delay than CCA and GDB.
Relation:	IEEE TRANSACTIONS ON MULTIMEDIA
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] journal & Dissertation

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