Title :
Dynamic resource allocation via video content and short-term traffic statistics
Author :
Wu, Min ; Joyce, Robert A. ; Wong, Hau-San ; Guan, Ling ; Kung, Sun-Yuan
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
fDate :
6/1/2001 12:00:00 AM
Abstract :
The reliable and efficient transmission of high-quality variable bit rate (VBR) video through the Internet generally requires network resources be allocated in a dynamic fashion. This includes the determination of when to renegotiate for network resources, as well as how much to request at a given time. The accuracy of any resource request method depends critically on its prediction of future traffic patterns. Such a prediction can be performed using the content and traffic information of short video segments. This paper presents a systematic approach to select the best features for prediction, indicating that while content is important in predicting the bandwidth of a video hit stream, the use of both content and available short-term bandwidth statistics can yield significant improvements. A new framework for traffic prediction is proposed in this paper; experimental results show a smaller mean-square resource prediction error and higher overall link utilization
Keywords :
bandwidth allocation; multimedia systems; resource allocation; variable rate codes; Internet; dynamic resource allocation; link utilization; mean-square resource prediction error; short video segments; short-term traffic statistics; traffic patterns; variable bit rate video; video content; Bandwidth; Bit rate; Delay; Neural networks; Resource management; Statistics; Streaming media; Telecommunication traffic; Video compression; Videoconference;
Journal_Title :
Multimedia, IEEE Transactions on
DOI :
10.1109/6046.923818