Design issues on media server scheduling for video-on-demand (VoD) services

Yinqing Zhao; C.-C. Jay Kuo

doi:10.1117/12.511998

19 November 2003 Design issues on media server scheduling for video-on-demand (VoD) services

Yinqing Zhao, C.-C. Jay Kuo

Proceedings Volume 5241, Multimedia Systems and Applications VI; (2003) https://doi.org/10.1117/12.511998
Event: ITCom 2003, 2003, Orlando, Florida, United States

Abstract

Media server scheduling in video-on-demand (VOD) systems includes video content allocation and request migration among servers. In this paper, we present a greedy algorithm to allocate video copies to media servers. It uses a graph model and minimizes the average shortest distance among media servers at each step. To facilitate the performance analysis of the random early migration (REM) algorithm proposed in our previous work, we introduce a formal description of the media service. Based on this system formalization, we develop a state transition method to study the parameter effect on the REM performance and compare the real time performance between REM and traditional migration with early start (TMES). The analytical result shows that REM introduces smoother migrations between media servers and thus leads to less real time system load than TMES.

Citation Download Citation

Yinqing Zhao and C.-C. Jay Kuo "Design issues on media server scheduling for video-on-demand (VoD) services", Proc. SPIE 5241, Multimedia Systems and Applications VI, (19 November 2003); https://doi.org/10.1117/12.511998

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available