DocumentCode :
1042927
Title :
Generalized Sequence-Based and Reverse Sequence-Based Models for Broadcasting Hot Videos
Author :
Yu, Hsiang-Fu ; Ho, Pin-Han ; Yang, Hung-Chang
Author_Institution :
Dept. of Comput. Sci., Nat. Taipei Univ. of Educ., Taipei
Volume :
11
Issue :
1
fYear :
2009
Firstpage :
152
Lastpage :
165
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.
Keywords :
image sequences; video signal processing; video streaming; broadcasting hot videos; client centric approach; generalized sequence based models; greedy disk conserving broadcasting; multiple segments; reverse fast broadcasting; reverse sequence based models; skyscraper broadcasting; video data stream; Hot-video broadcasting; buffers; cable TV; video-on-demand (VOD);
fLanguage :
English
Journal_Title :
Multimedia, IEEE Transactions on
Publisher :
ieee
ISSN :
1520-9210
Type :
jour
DOI :
10.1109/TMM.2008.2008931
Filename :
4721590
Link To Document :
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