Multimedia Tools and Applications

, Volume 40, Issue 1, pp 111–134

Video streaming over the internet with optimal bandwidth resource allocation


DOI: 10.1007/s11042-007-0187-7

Cite this article as:
Luo, H., Shyu, ML. & Chen, SC. Multimed Tools Appl (2008) 40: 111. doi:10.1007/s11042-007-0187-7


In this paper, an adaptive framework for video streaming over the Internet is presented. The framework is a joint design of packet scheduling and rate control with optimal bandwidth resource allocation. The transmission rate is dynamically adjusted to obtain maximal utilization of the client buffer and minimal allocation of the bandwidth. Under the constraint of the transmission rate, a prioritized packet scheduling is designed to provide a better visual quality of video frames. The packet scheduling is a refined bandwidth allocation which takes into account of varying importance of the different packets in a compressed video stream. Moreover, the proposed approach is scalable with increasing multimedia flows in the distributed Internet environment. Comparisons are made with the most current streaming approaches to evaluate the performance of the framework using the H.264 video codec. The extensive simulation results show that the average Peak Signal to Noise Ratio (PSNR) increases in our proposed approach. It provides a better quality of the decoded frames, and the quality of the decoded frames changes more smoothly. The achieved video quality among different users also has a lower fluctuation, which indicates a fair sharing of network resources.


Video streaming Quality of service Optimal bandwidth allocation Congestion control 

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  1. 1.Department of Electrical and Computer Engineering TechnologyIndiana University - Purdue University Fort WayneFort WayneUSA
  2. 2.Department of Electrical and Computer EngineeringUniversity of MiamiCoral GablesUSA
  3. 3.Distributed Multimedia Information System Laboratory, School of Computing and Information SciencesFlorida International UniversityMiamiUSA

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