Dynamic resource allocation via video content and short-term traffic statistics

Min Wu, Robert A. Joyce, Hau San Wong, Ling Guan, Sun Yuan Kung

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

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 bit 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.

Original languageEnglish (US)
Pages (from-to)186-199
Number of pages14
JournalIEEE Transactions on Multimedia
Volume3
Issue number2
DOIs
StatePublished - Jun 2001

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • Bandwidth prediction
  • Dynamic resource allocation
  • Multimedia over IP
  • Neural network (NN)
  • VBR video

Fingerprint Dive into the research topics of 'Dynamic resource allocation via video content and short-term traffic statistics'. Together they form a unique fingerprint.

Cite this