An effective scheduling method with finer data division for continuous media data broadcasting

2005 ◽  
Author(s):  
T. Yoshihisa ◽  
M. Tsukamoto ◽  
S. Nishio
Keyword(s):  
Continuous Media ◽  
Data Broadcasting ◽  
Data Division ◽  
Scheduling Method ◽  
Media Data ◽  
Continuous Media Data

A scheduling method for continuous media data broadcasting considering commercial contents

2012 ◽  
Vol 8 (1) ◽  
pp. 92-106 ◽  
Author(s):  
Yusuke Gotoh ◽  
Tomoki Yoshihisa ◽  
Hideo Taniguchi ◽  
Masanori Kanazawa
Keyword(s):  
Continuous Media ◽  
Data Broadcasting ◽  
Scheduling Method ◽  
Media Data ◽  
Continuous Media Data

scholarly journals A Scheduling Method to Reduce Waiting Time for Close-Range Broadcasting

2012 ◽  
Vol 8 (4) ◽  
pp. 303-314 ◽  
Author(s):  
Yusuke Gotoh ◽  
Tomoki Yoshihisa ◽  
Hideo Taniguchi ◽  
Masanori Kanazawa ◽  
Wenny Rahayu ◽  
...  
Keyword(s):  
Waiting Time ◽  
Continuous Media ◽  
Main Program ◽  
Available Bandwidth ◽  
Scheduling Method ◽  
Close Range ◽  
Digital Broadcasting ◽  
Broadcast Schedule ◽  
Media Data ◽  
Continuous Media Data

Due to the recent popularization of digital broadcasting systems, close-range broadcasting using continuous media data, i.e. audio and video, has attracted great attention. For example, in a drama, after a user watches interesting content such as a highlight scene, he/she will watch the main program continuously. In close-range broadcasting, the necessary bandwidth for continuously playing the two types of data increases. Conventional methods reduce the necessary bandwidth by producing an effective broadcast schedule for continuous media data. However, these methods do not consider the broadcast schedule for two types of continuous media data. When the server schedules two types of continuous media data, waiting time that occurs from finishing the highlight scene to starting the main scene, may increase. In this paper, we propose a scheduling method to reduce the waiting time for close-range broadcasting. In our proposed method, by dividing two types of data and producing an effective broadcast schedule considering the available bandwidth, we can reduce the waiting time.

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