By Topic

Models and algorithms for bandwidth allocation of CBR video streams in a VoD system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Hadar, O. ; Dept. of Commun. Syst. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel ; Segal, M.

Discusses the problem of bandwidth allocation of constant bit rate (CBR) video streams to compressed video streams in a video-on-demand (VoD) system. We consider the instance of a VoD system where compressed digital video is transmitted with a CBR over a network with limited capacity. This paper has two main purposes: the first is to develop an efficient algorithm for determining the optimal bandwidth under the constraint of minimal buffer size, and the second is to make a comparison between different approaches for bandwidth allocation under the constraint of maximum bandwidth utilization. Together with his request for a specific video stream, each client in the system sends his buffer size and the maximum waiting time for his allowable delay. According to this information, the video server determines a range of transmission rates that can be used by the client without violating the client-buffer constraints (i.e. overflow or underflow). The main contribution of this paper is to suggest a method for allocating a variable network bandwidth on stream initiation in order to service as many users as possible while providing each user with the highest quality service

Published in:

Information Technology: Coding and Computing, 2001. Proceedings. International Conference on

Date of Conference:

Apr 2001