We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

A novel stream partitioning strategy for real-time video delivery in distributed multimedia systems

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)
Xiaorong Li ; Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore ; Veeravalli, B.

In this paper, we propose a novel strategy, referred to as window-assisted video partitioning (WAVP), for efficiently rendering network-based multimedia services within delay constraints. To minimize the service cost and maximize the number of requests that can be successfully served under resources constraints (cache capacity and link bandwidth), our WAVP strategy partitions videos into multiple portions and delivers them by adaptive schedule windows. Based on a mathematical analysis, it is shown that the service cost can be optimized by managing video portions with the schedule windows and it can improve resource utilization to partition video streams into multiple portions. We analyze the performance under several influencing parameters such as link availability, cache capacity, delay bound and partition gradients. Simulation results show that our proposed method can significantly reduce the service cost and achieve a high acceptance ratio under the constraints of network resources.

Published in:

Consumer Communications and Networking Conference, 2005. CCNC. 2005 Second IEEE

Date of Conference:

3-6 Jan. 2005